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I. Introduction

Artificial Intelligence (AI) refers to the development of computer systems capable of performing tasks that typically require human intelligence, such as problem-solving, learning, and adaptation. As technology continues to advance rapidly, AI is increasingly being integrated into various industries, including agriculture. The agricultural sector has already begun to benefit from AI-powered solutions that enhance productivity, improve crop yields, and reduce resource consumption. This blog post explores the benefits, applications, and future prospects of AI in agriculture, while also addressing the challenges and limitations faced in this field.

II. Benefits of AI in Agriculture

The integration of AI in agriculture has led to numerous benefits, including:

Increased efficiency and productivity: AI-powered tools and systems enable farmers to streamline their operations, optimize resource allocation, and improve decision-making processes.

Improved crop yield and quality: AI-driven analytics provide insights into crop health and growth, enabling farmers to make informed decisions that enhance both yield and quality.

Reduction in resource consumption: AI technologies optimize the use of resources such as water, fertilizer, and pesticides, thereby minimizing waste and reducing the environmental impact of farming practices.

Enhanced precision and accuracy: AI-based solutions, such as precision farming techniques, allow for accurate and targeted application of resources, resulting in improved efficiency and reduced costs.

Cost savings for farmers: The adoption of AI technologies can lead to significant cost savings by automating labor-intensive tasks and optimizing resource usage.

III. Applications of AI in Agriculture

There are several key applications of AI in agriculture, including:

Crop monitoring and analysis: AI-powered systems can analyze large amounts of data collected from satellite imagery, drones, and sensors to monitor crop health and detect potential issues, such as disease or pest infestations.

Precision farming: By utilizing AI-driven data analysis, precision farming techniques enable farmers to make more informed decisions about resource allocation, such as when and where to irrigate, fertilize, or apply pesticides.

Automated harvesting: AI-powered machinery and robots can perform tasks like harvesting with minimal human intervention, increasing efficiency and reducing labor costs.

Soil analysis and management: AI algorithms can analyze soil samples to determine optimal nutrient and moisture levels, allowing farmers to make data-driven decisions about soil management.

Livestock monitoring and management: AI can be used to monitor the health, behavior, and location of livestock, streamlining the management process and improving animal welfare.

IV. Case Studies

Real-life examples of AI being used in agriculture include:

Blue River Technology's "See & Spray" system, which uses computer vision and machine learning algorithms to identify and selectively apply herbicides to weeds, reducing herbicide use by up to 90%.

The partnership between AgEagle Aerial Systems and Microsoft, which resulted in a drone-based AI solution for crop health monitoring, leading to improved yields and reduced input costs for farmers.

Cargill's use of AI to monitor and predict the behavior of livestock, enabling more efficient and humane management practices.

V. Challenges and Limitations of AI in Agriculture

Despite its potential, AI adoption in agriculture also faces several challenges and limitations, such as:

Data collection and management: Obtaining accurate and reliable data can be challenging, particularly in remote areas with limited connectivity.

Implementation costs and technical expertise: The adoption of AI technologies often requires significant upfront investment and specialized knowledge, which may be prohibitive for small-scale farmers.

Limited access to technology in certain regions: Some regions may lack the necessary infrastructure or resources to access and implement AI technologies.

Potential for job displacement: As AI-powered solutions automate tasks, there is a risk of job displacement for agricultural workers, particularly those engaged in manual labor.

VI. Future of AI in Agriculture

As AI continues to evolve, its impact on agriculture is expected to grow significantly. Some emerging trends and potential future developments include:

Enhanced food security and sustainability: AI technologies have the potential to improve food security by increasing crop yields and reducing resource consumption, contributing to a more sustainable global food system.

Integration with other emerging technologies: The combination of AI with other cutting-edge technologies, such as drones and the Internet of Things (IoT), is expected to lead to even more advanced solutions for agricultural challenges.

Greater accessibility and affordability: As AI technologies become more widespread and affordable, small-scale farmers in developing countries are likely to have increased access to these tools, helping to bridge the digital divide in agriculture.

VII. Conclusion

In conclusion, AI has the potential to revolutionize the agriculture sector by increasing efficiency, improving crop yields, reducing resource consumption, and enhancing overall decision-making processes. While there are challenges and limitations associated with the implementation of AI in agriculture, the potential benefits and ongoing advancements in technology suggest that AI will play an increasingly important role in shaping the future of agriculture.

For those interested in further reading, we recommend exploring resources such as the Food and Agriculture Organization (FAO) of the United Nations, as well as research articles and publications from reputable sources, to stay informed on the latest advancements in AI and its application in agriculture.

In the era of rapid technological advancements and artificial intelligence, there are still some qualities that humans possess that AI cannot replicate. Here are 20 things that make us unique and set us apart from even the most advanced AI:

1. Empathy

Humans have the ability to understand and share the feelings of others. This is an essential quality that allows us to connect with and relate to other people, and it is a trait that cannot be replicated by AI.

2. Creativity

Humans possess the ability to generate new and original ideas, and to create something entirely new from existing materials or ideas. While AI can assist in the creative process, it cannot replicate the human imagination.

3. Intuition

Humans possess the ability to understand something instinctively, without the need for conscious reasoning. This quality allows us to make quick and accurate decisions in uncertain situations, and it is something that AI cannot replicate.

4. Morality

Humans have the ability to differentiate between right and wrong, and to act accordingly. This is an essential quality that allows us to make ethical decisions and act with integrity, and it is a trait that cannot be replicated by AI.

5. Sense of humor

Humans have the ability to find things funny and to create humor. This is an essential quality that allows us to connect with others and to diffuse tense situations, and it is a trait that AI cannot replicate.

6. Imagination

Humans possess the ability to create mental images and concepts, and to visualize things that do not exist in reality. This is a trait that allows us to think creatively and to develop innovative ideas, and it is something that AI cannot replicate.

7. Perception

Humans have the ability to interpret sensory information and to understand the world around us. This quality allows us to make sense of complex situations and to navigate the world effectively, and it is a trait that cannot be replicated by AI.

8. Emotional Intelligence

Humans have the ability to understand and manage our own emotions, as well as the emotions of others. This quality allows us to connect with others on a deeper level, and it is something that AI cannot replicate.

9. Compassion

Humans can feel and show concern for others. This is an essential quality that allows us to care for others and to act selflessly, and it is a trait that AI cannot replicate.

10. Curiosity

Humans possess the desire to learn and understand new things. This quality allows us to explore and discover new knowledge, and it is a trait that AI cannot replicate.

11. Common sense 

Humans can use practical judgment and make sensible decisions. This quality allows us to navigate everyday situations effectively, and it is a trait that AI cannot replicate.

12. Self-awareness

Humans possess the ability to recognize and understand our own emotions and behavior. This quality allows us to grow and develop as individuals, and it is a trait that AI cannot replicate.

13. Adaptability

Humans can adjust to new situations and environments. This quality allows us to thrive in changing circumstances, and it is a trait that AI cannot replicate.

14. Empowerment

Humans could take charge of our own lives and make decisions. This quality allows us to control our own destiny, and it is a trait that AI cannot replicate.

15. Critical thinking

Humans could analyze and evaluate information to form a judgment. This quality allows us to make informed decisions, and it is a trait that AI cannot replicate.

16. Ethics 

Humans have the principles that guide our behavior and decision-making. This quality allows us to act with integrity and to make ethical decisions, and it is a trait that AI cannot replicate.

17. Humility

Humans could recognize and accept our own limitations and flaws. This quality allows us to grow and learn from our mistakes, and it is a trait that AI cannot replicate.

18. Authenticity

Humans could be true to ourselves and to express our individuality. This quality allows us to be unique and to connect with others on a deeper level, and it is a trait that AI cannot replicate.

19. Patience

Humans could remain calm and endure difficulties. This quality allows us to persevere through challenges and to achieve our goals, and it is a trait that AI cannot replicate.

20. Love

Humans possess emotions that involve affection, attachment, and caring for others. This quality allows us to connect with others on a deep emotional level and to form meaningful relationships, and it is a trait that AI cannot replicate.

In summary, while AI is advanced in many ways and has the ability to process data and perform tasks with accuracy and speed, it cannot replicate the depth and complexity of human thought and emotion. The unique qualities that humans possess, such as empathy, creativity, intuition, and love, set us apart from AI and give us a superiority that cannot be matched by machines. These qualities make us human and will continue to shape our lives in the years to come.

The healthcare industry is rapidly evolving and AI ML is revolutionizing the way healthcare is delivered. AI ML in healthcare is transforming healthcare from a manual system to an automated one. AI ML is a growing field that is helping to improve patient care, reduce medical errors, and streamline medical processes. With AI ML, healthcare professionals are able to make more informed decisions, leading to better patient outcomes. In this blog article, we will explore the benefits of AI ML in healthcare, the statistics surrounding machine learning in healthcare, and exploring strategies for healthcare professionals looking to implement machine learning into their practice.

What is AI ML in Healthcare?

AI ML in healthcare is the use of machine learning algorithms to process, analyze, and interpret large amounts of data to help healthcare professionals make more informed decisions. AI ML algorithms are able to analyze patient data such as medical history, diagnoses, and lab results to better understand patient conditions and treatments. AI ML can also be used to automate tasks such as medical billing and claims processing, allowing healthcare professionals to focus on patient care.

In addition to analyzing data, AI ML can also be used to identify trends or patterns in healthcare data. By identifying these patterns, healthcare professionals can make better decisions when it comes to patient care and treatment. AI ML can also be used to predict patient outcomes, helping healthcare professionals to better prepare for and manage patient care.

Benefits of Machine Learning in Healthcare

The benefits of AI ML in healthcare are numerous. AI ML can help healthcare professionals make better decisions, reduce medical errors, and improve patient outcomes. AI ML can also help to streamline medical processes, reducing costs and improving efficiency. Here are some of the benefits of machine learning in healthcare:

• Improved Patient Care: AI ML can help healthcare professionals to make better decisions when it comes to patient care. By analyzing patient data, AI ML can help to identify trends or patterns that can be used to make better decisions when it comes to patient care and treatment.

• Reduced Medical Errors: AI ML can help to reduce medical errors by providing healthcare professionals with more accurate and up-to-date medical information. This can help to reduce medical errors and improve patient outcomes.

• Streamlined Medical Processes: AI ML can help to streamline medical processes, reducing costs and improving efficiency. By automating tasks such as medical billing and claims processing, AI ML can help to save time and money.

• Predictive Analysis: AI ML can help to identify trends or patterns in healthcare data, allowing healthcare professionals to make better decisions. AI ML can also be used to predict patient outcomes, helping healthcare professionals to better prepare for and manage patient care.

Machine Learning in Healthcare Statistics

AI ML is becoming increasingly popular in the healthcare industry. According to a survey conducted by Accenture, 81% of healthcare organizations have already implemented AI ML, while another 17% are in the process of doing so. Additionally, a study conducted by McKinsey found that AI ML could potentially create $150 billion in annual savings for the US healthcare system. Furthermore, Microsoft has estimated that AI ML in healthcare could help reduce medical costs by up to 20%. These statistics clearly demonstrate the potential of AI ML in healthcare and the potential for healthcare professionals to reap the benefits of machine learning.

Machine Learning Strategies for Healthcare

For healthcare professionals looking to implement AI ML, there are a few strategies that can help to ensure a successful implementation. Here are some strategies for healthcare professionals to consider:

• Develop a plan: Before implementing AI ML, healthcare professionals should develop a plan for how they will use AI ML in their practice. This plan should include identifying which processes AI ML can help to automate and the goals of the AI ML implementation.

• Train staff: Healthcare professionals should also train their staff on how to use AI ML in their practice. This training should include explaining the benefits of AI ML and how to use it to improve patient care.

• Monitor progress: Healthcare professionals should monitor the progress of their AI ML implementation and adjust the plan as needed. This will ensure that the AI ML implementation is successful and that the benefits are being realized.

Creating a Machine Learning Plan for Healthcare

Creating a plan for AI ML implementation is essential for healthcare professionals looking to take advantage of the benefits of machine learning. Here are some tips for creating an AI ML plan for healthcare:

• Identify goals and objectives: The first step in creating an AI ML plan is to identify the goals and objectives of the AI ML implementation. This should include identifying which processes AI ML can help to automate and the desired outcomes of the AI ML implementation.

• Assess data: Healthcare professionals should assess the data that will be used for AI ML. This should include assessing the quality of the data and identifying any potential biases in the data.

• Set timelines: Healthcare professionals should also set timelines for the AI ML implementation. This will help to ensure that the AI ML implementation is completed in a timely manner.

• Test and evaluate: Healthcare professionals should also test and evaluate the AI ML implementation. This will help to ensure that the AI ML implementation is successful and that the desired outcomes are being achieved.
  
  
  

Machine Learning Tips for Healthcare

For healthcare professionals looking to implement AI ML, there are a few tips that can help to ensure a successful implementation. Here are some tips for healthcare professionals to consider:

• Understand the technology: Healthcare professionals should have a good understanding of AI ML technology before implementing it in their practice. This will help to ensure that the AI ML implementation is successful and that the desired outcomes are achieved.

• Start small: Healthcare professionals should start small when it comes to AI ML implementation. This will allow them to test and evaluate the AI ML implementation before scaling it up.

• Develop an ethical framework: Healthcare professionals should also develop an ethical framework for their AI ML implementation. This will help to ensure that the AI ML implementation is ethical and compliant with applicable laws and regulations.

• Monitor progress: Healthcare professionals should monitor the progress of their AI ML implementation and adjust the plan as needed. This will ensure that the AI ML implementation is successful and that the benefits are being realized.
  
  
  

Opportunities for Machine Learning in Healthcare

AI ML is providing healthcare professionals with numerous opportunities to improve patient care and reduce costs. Here are some of the opportunities for AI ML in healthcare:

• Diagnostics: AI ML can be used to analyze medical images and diagnose diseases with greater accuracy than humans. AI ML can also be used to identify patterns in medical data, helping healthcare professionals to make better decisions when it comes to patient care.

• Personalized medicine: AI ML can be used to analyze patient data to create personalized treatment plans for individual patients. This can help to improve patient outcomes and reduce costs.

• Pharmacy automation: AI ML can be used to automate pharmacy processes, reducing costs and improving efficiency.

• Clinical trials: AI ML can be used to automate the process of conducting clinical trials, reducing costs and improving accuracy.

• Predictive analytics: AI ML can be used to identify trends or patterns in healthcare data, helping healthcare professionals to make better decisions when it comes to patient care.
  
  
  

AI ML in Healthcare Services

AI ML is being used in various healthcare services to improve patient care and reduce costs. Here are some of the ways AI ML is being used in healthcare services:

• Medical records: AI ML can be used to automate the process of managing patient medical records, reducing costs and improving efficiency.

• Drug discovery: AI ML can be used to automate the process of drug discovery, reducing costs and improving accuracy.

• Diagnostics: AI ML can be used to analyze medical images and diagnose diseases with greater accuracy than humans, leading to better patient outcomes.

• Clinical trials: AI ML can be used to automate the process of conducting clinical trials, reducing costs and improving accuracy.

• Personalized medicine: AI ML can be used to analyze patient data to create personalized treatment plans for individual patients. This can help to improve patient outcomes and reduce costs.
  
  
  

ML in Hospitals

AI ML is being used in hospitals to improve patient care and reduce costs. Here are some of the ways AI ML is being used in hospitals:

• Patient monitoring: AI ML can be used to monitor patient vital signs and alert healthcare professionals to any potential problems. This can help to improve patient care and reduce medical errors.

• Diagnostics: AI ML can be used to analyze medical images and diagnose diseases with greater accuracy than humans, leading to better patient outcomes.

• Drug discovery: AI ML can be used to automate the process of drug discovery, reducing costs and improving accuracy.

• Clinical trials: AI ML can be used to automate the process of conducting clinical trials, reducing costs and improving accuracy.

• Personalized medicine: AI ML can be used to analyze patient data to create personalized treatment plans for individual patients. This can help to improve patient outcomes and reduce costs.
  
  
  

Conclusion

AI ML is revolutionizing the healthcare industry and providing healthcare professionals with numerous opportunities to improve patient care and reduce costs. AI ML can help healthcare professionals make better decisions, reduce medical errors, and improve patient outcomes. Furthermore, AI ML can help to streamline medical processes, reducing costs and improving efficiency. For healthcare professionals looking to implement AI ML, it is important to develop a plan, train staff, and monitor progress. If you are looking to use AI ML in healthcare, Contact us for free consultation to learn more about how we can help you.

Artificial Intelligence (AI) has been a topic of interest for decades, but in recent years, advancements in the field have brought AI closer to becoming a part of our everyday lives. AI is the development of computer systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. The potential benefits of AI are vast and far-reaching, and the future of AI technology promises to revolutionize the world in ways we can only imagine.

The current state of AI is marked by significant advancements in the field. From self-driving cars to virtual personal assistants, AI is already changing the way we live and work. AI is being used in a wide range of industries, including healthcare, finance, manufacturing, and retail. For example, in healthcare, AI is being used to diagnose diseases, predict outbreaks, and develop new treatments. In finance, AI is being used to analyze large amounts of data and make more informed investment decisions.

Despite the advancements in AI technology, current AI systems still have their limitations. AI systems are dependent on large amounts of data to train and improve, and the quality of the output is only as good as the data used to train the system. Additionally, AI systems are not yet capable of truly replicating human intelligence, and there are still many tasks that can only be performed by humans.

The potential benefits of AI are vast and far-reaching. AI has the potential to increase efficiency and productivity in a wide range of industries, freeing up time for humans to focus on more complex tasks. AI systems can analyze large amounts of data in a matter of seconds, making decisions and solving problems faster and more accurately than humans ever could. AI can also enhance the customer experience, providing personalized recommendations and real-time support. In the medical and scientific fields, AI has the potential to revolutionize the way we diagnose and treat diseases, leading to a better quality of life for millions of people.

However, with the potential benefits of AI come some concerns and ethical considerations. The most significant concern is job displacement, as AI systems become increasingly capable of performing tasks that were once performed by humans. There are also ethical considerations surrounding the development and use of AI systems, particularly when it comes to issues such as privacy and the misuse of AI technology. Additionally, there is a need for regulation and oversight to ensure that AI systems are being developed and used responsibly.

The future of AI is exciting and holds great promise. Predicted advancements in the field include the integration of AI into everyday life, such as in smart homes and cities, and the development of AI systems that are capable of truly replicating human intelligence. The collaboration between AI and human intelligence is also expected to lead to new breakthroughs in a wide range of fields, from healthcare to space exploration.

In conclusion, AI has the potential to revolutionize the world in ways we can only imagine. From increasing efficiency and productivity to enhancing the customer experience, AI has the potential to improve our lives in countless ways. However, it is important to address the concerns surrounding AI and to ensure that AI technology is being developed and used responsibly. The future of AI holds great promise, and it will be exciting to see how the field continues to evolve and shape our world in the years to come.

WhatsApp is one of the most popular messaging platforms in the world, with over 2 billion active users. As a business owner, you can get the benefits of a WhatsApp chatbot to improve customer engagement, automate customer service, and increase sales. In this article, we will explore the benefits of WhatsApp chatbots and how you can implement them in your business.

Improved Customer Engagement

A WhatsApp chatbot can help you improve customer engagement by providing instant support and information to your customers. Customers can ask questions, place orders, and receive updates about their purchases through the chatbot. This not only saves time for customers but also frees up your customer service team to focus on more complex issues.

Automated Customer Service

With a WhatsApp chatbot, you can automate your customer service and reduce the workload of your customer service team. The chatbot can handle common customer queries, such as product information and order status updates, freeing up your team to focus on more complex issues. This can improve customer satisfaction and reduce response times.

Increased Sales

A WhatsApp chatbot can also help you increase sales by providing a convenient way for customers to purchase products and services. The chatbot can guide customers through the purchasing process, answer questions, and provide recommendations based on their preferences. This can lead to increased conversion rates and customer loyalty.

Cost Savings

Implementing a WhatsApp chatbot can also help you save costs by reducing the need for a large customer service team. The chatbot can handle many customer queries, reducing the need for a large team to handle these tasks. This can result in significant cost savings, especially for small businesses.

Data Collection

WhatsApp chatbots can also collect valuable data about your customers, such as their preferences, purchasing habits, and feedback. This data can be used to improve your products and services and make informed business decisions.

To implement a WhatsApp chatbot in your business, you will need to choose a chatbot platform that supports WhatsApp. You also can develop a custom chatbot platform for your business.

It is important to note that WhatsApp has strict policies for chatbots and requires businesses to comply with these policies. This includes using a verified business account, providing a clear opt-in process for customers, and respecting customer privacy.

In conclusion, a WhatsApp chatbot can provide significant benefits for your business, including improved customer engagement, automated customer service, increased sales, cost savings, and data collection. To leverage the benefits of a WhatsApp chatbot, you will need to choose a chatbot platform, create a chatbot flow, and comply with WhatsApp's policies. With the right implementation, a WhatsApp chatbot can help you improve your business and provide a better customer experience.

Wearable has become an essential part of daily life. The first digital hearing device was published in the year 1980, and we could not have expected it back then to become an integral part of our lives today. Wearable became a massive phenomenon in 2004, which was marked officially as the year of wearable technology. However, there was a sudden spike in activity trackers after Apple Watch was launched, the developments that took place in the Wearable field are nothing short of total transformations.

In the healthcare industry, now known as the Internet of Health Things (IoHT), where medical devices, tools, and software connect to the healthcare IT infrastructure, the development behind wearable devices have been powered by IoT. But we have to wonder why the Internet of Things ( IoT) and Wearable operate without an AI engine, and why we need AI-first of all in wearable technology. This is because the real interest lies in knowledge and what is better than AI and Machine Learning, two critical insight devices.

AI wearable to healthcare and fitness:

AI in healthcare has helped Wearable to help fitness keepers with their routine workouts. They also help them monitor their activities. The drawback of these wearables is that people do not understand how to use the data after a certain level. In addition to following the data, AI-powered Wearable may also determine what the user eats, how much they should sleep, and how they should exercise to improve their health, amongst other insights. Today Wearable comes in various forms, shapes, and sizes due to the development in technology such as the introduction in Intelligent Voice Assistant, etc.

Advanced technology sensors are built into these wearable devices for monitoring, evaluating, and optimizing user-specific fitness or sport behaviors by creating real-time user insights. These smart Wearable often provide the consumer with actionable information to reduce the risk of injury. E.g., Smart biker helmets, smartwatches, smart glasses, yoga pants, fitness bands, to help you get the right poses

What are the best AI wearable applications are?

It will open doors for companies designing healthcare applications to create Wearable AI-enabled applications for global markets. In the techno market space, AI has always been famous. AI and Wearable will come together to forge Smart wearable devices to maintain double-digit growth, with 780 million units ready to sell. HealthTech Startups may take references from below listed AI Wearable Applications to mark their foot-longs in the wearable market allowed by AI.

Wearable to professional consults:

Telemedicine or medical appointments online have already become a phenomenon. Insights monitored by wearable apps can be coordinated for online tests and medical appointments with medical practitioners at a health center. When an abnormality is identified, the patient can report it to their treating physician or an AI doctor.

A doctor with AI intelligence is usually a standalone neural network with a unique learning algorithm that can identify ailments faster than an actual doctor would. The machine learning algorithm ensures that the application, through a self-learning module, allows minimal errors and maximum detections. The machine learning algorithms are better because it shares the same amount of data as the application.

Preventive fitness wearable:

The blatant chronic illnesses are heart disease, diabetes, kidney disease, arthritis, asthma, and more. Using Wearable and trackers for preventive disease, you can monitor critical patients, such as blood pressure, heart rate, and more, making it easier for doctors to correctly identify their patients.

Such electronic media allow patients to connect with physicians by continuously synchronizing their medical details over the internet, allowing you to access your medical information with a fingertip. Some of Preventive Healthcare's famous applications are Heartisans, who let your blood pressure drop, anywhere. Another common application is 100Plus, which allows one single tap to track body weight, blood glucose, and much more.

AI BlueTooth enabled headphones:

The AI has enabled Bluetooth Headphones to double up as a fitness tracker and features biosensors to detect heart rate, elevation, motion, proximity, and touch. Such headphones have personal trainers based on AI, which assists by offering real-time monitoring of running, cycling, and other activities more smartly in working out. An ordinary meaning of Bluetooth Headphones enabled AI is V.

Powered by AI's smart assistance and intellect, Vinci is your wearable voice and personal assistance headphones, with intelligently sensed noise cancelation and immersive 3D sound.

Wearable for medical management 

You may be prescribed medicine by an AI-based doctor. The prescription is then sent to the wearable patient, who can refer to or even order the drug using the integrated contactless payment system incorporated in the consumable with the NFC chip. Even a consumer-friendly health app will alert you to take medicine.

Wearable to track pulse and blood pressure for monitoring stress:

Wearable and health tracking devices help track everything, including heart rate sleep cycles and a wide variety of other biomarkers. Such tools are effective if a patient performs a therapy regimen to strengthen his condition. If so, then these apps will effectively demonstrate their progress. Wearable healthcare devices that monitor blood pressure and pulse for stress management. The patient can also use these apps by asking them for routine walking reminders, heart rate, blood pressure, blood sugar, and weight statistics

Final verdict

AI/ML & Wearables Technologies devices are two state-of-the-art technologies that are disrupting many industries. Healthcare is an industry that can reap tremendous benefits from both Wearable and AI technologies. We saw in this blog how a combination of the two would bring significant improvements and make our health system more effective.

This can play an essential role in improving the health of chronic disease patients. They will be developing all of these innovations in the coming years, which will lead to an even more reliable healthcare system. We are still working with the latest changes to render immersive applications. 

Artificial intelligence in the health service has vast potential: from virtual assistance solutions to the discovery of drugs and the diagnosis of diseases. All features that fall within can be achieved with machine learning. The whole world, at this moment, is struggling to combat the Corona Virus. Around 1.5 million people from over 200 countries have been found affected by this disease. This disease is considered the most significant pandemic of this century if you look at the impact on the global level.

It is a virus that spreads from one person to another. Though medical practitioners from all across the world are trying their best to control and fight against it, the risk of doctors getting infected is irrepressible. We have already seen hundreds of doctors losing their lives due to the virus.

Thankfully, technology allows us to replace human resources with AI at most of the places, and healthcare is one of those. Sure enough, we need doctors, but we can utilize artificial intelligence for quite many tasks. This blog speaks about all those opportunities where AI can help fight the COVID-19 pandemic while controlling further damage.

In particular, healthcare will be increasingly permeated by assistants and robot doctors.  In fact, according to Accenture, artificial intelligence applied to healthcare is a booming market that will produce a turnover of 6.6 billion dollars in 2021, with a jump compared to the 600 million dollars of 2014.

What is Artificial Intelligence in the health service?

Artificial intelligence in healthcare refers to the use of complex algorithms designed to perform specific tasks in an automated way. When researchers, doctors, and scientists enter data into computers, algorithms can review, interpret, and even suggest solutions to complex medical problems.

Artificial Intelligence to find new drugs

To date, several health and pharmaceutical firms have used Artificial Intelligence to help the drug development process. Here's the triggering fact: 9 out of 10 prescription drugs fail to attain evaluations, and many more do not meet the approval process. It means increasing expenses funding the research and production of medicines.

The good news is that Artificial Intelligence, along with Machine Learning and Big Data, has tremendous potential to reduce the investment cost of new medicines.

Artificial Intelligence as support to clinical decision

Within clinical decision support, healthcare AI can be useful in helping clinicians make smarter, quicker decisions. Time saved and diagnosed illnesses are critical in an environment where time spent, and choices will save lives for patients. Artificial intelligence is not, given all these developments, the perfect cure for solving all healthcare problems. Like every breakthrough, it poses a variety of issues that need to be carefully discussed before full integration occurs.

Some of those knots include:

• Implementation costs
• Missing the regulations
• Potential technological failings
• Some deficits

Health care is, however, an environment full of obligations and regulations. Thriving technologies such as AI bear a significantly empty regulatory past with it. This could delay patient and professional acceptance because no one wants to risk a medical negligence case. We have already dealt with these issues by addressing the importance of ethics in artificial intelligence.

Artificial intelligence to help in medical diagnostics.

You can use artificial intelligence to identify different diseases and determine treatment plans. For example, a team led by scientists at the University of California and the University of Surrey, in Gilford, UK, announced an AI platform in March 2019 that can help identify and anticipate cancer development.

This a groundbreaking study shows how, along with machine learning, the team of scientists used network analysis to examine the interconnection that occurs between groups of 38 common symptoms, frequently documented by more than 1300 patients. For example, the AI-led platform allowed the scientists' team to recognize nausea as the key symptom, putting it at the center of their analysis.

The ability of artificial intelligence to adapt and "read" from medical data offers opportunities for researchers to study and forecast the Coronavirus on a whole new level. Through cross-referencing the data generated through research agencies, pharmaceutical companies, doctors, and practitioners with back-end databases, AI will help improve the accuracy of COVID-19 diagnosis and treatment.

How on the Medical Field is Artificial Intelligence used?

Artificial intelligence in the medical field depends on the analysis and interpretation of vast amounts of data sets to support doctors:

• Make better agreements
• Handle patient data in an appropriate manner
• Build tailor-made plans
• New medicines to discover.

Voice assistants on health

Voice assistants are intelligent speakers equipped with microphones and connected in Wi-Fi, which, thanks to artificial intelligence and voice recognition, can execute orders given by users. In the health sector, they have two types of public: doctors and patients. Doctors often take notes, process data, and access patient records using programs. Data management, in controlling the time, is a vital aspect, and screen readers can be a viable solution.

From the patient's perspective, virtual assistants based on artificial intelligence can provide 24-hour assistance to a wide range of patients who might need access to care as a cheaper alternative to outpatient visits. Individuals who have chronic diseases, patients with disabilities with carers and patients living far from city centers are just a few of the people who could benefit most from virtual carers.

Organizations around the world are struggling to engage with consumers through simple communications that are prevented by COVID-19 lockdowns. Most companies are using chatbots to solve these issues. Not only can these help them communicate with clients, but they also help spread knowledge of the current pandemic.

Chatbots have been a great help, particularly in this crucial period for healthcare, helping to spread knowledge about coronavirus and to help with customer queries. Below are some of the well-known chatbots that supported industry during the COVID-19 era:

Recently the World Health Organization (WHO), in partnership with Facebook, unveiled a chatbot to combat COVID-19. The new chatbot is now part of Messenger, the popular Facebook instant messaging app.  By offering people immediate and accurate information about the virus outbreak through a chatbot, W.H.O. has extended its Health Alert network widely and effectively. After the virus pandemic, the demand for the production of the chatbot has exploded through industries and organizations.

The popularity of chatbots as a means of communication has dramatically increased, especially among the young generation. Chatbots are based on Artificial Intelligence (A.I.) conversational technology. They convey information to users through a text or voice-based interaction. Small and large organizations embrace chatbots because of their ease-of-use and efficiency.

W.H.O. is spreading knowledge of coronavirus by chatbots

The WHO's virtual chatbot, known as Rakuten Viber, aims to spread relevant COVID-19 outbreak information in several languages. The organization’s chatbot app production collaborates with Rakuten Viber. W.H.O. is aiming to reach more than 1 billion people worldwide with the chatbot.

The W.H.O. communicates in their languages with people in various countries and regions. The chatbot is currently available in English, Arabic, and Russian as of this writing. W.H.O. plans to extend the language capabilities of the chatbot up to 20 more languages.

The organization is assured that the messaging service will assist government officials, general citizens, and health workers stay informed about the pandemic. The information provides specifics for policymakers on signs, threats, security measures, and the current affairs reports.

How chatbots counter coronavirus for other organizations

Interactive chatbots have become the natural choice to spread health information amid the outbreak of the virus. For some time now, the software development industry has made considerable strides in natural language processing (N.L.P.). It resulted in the development of A.I. tools such as Siri, Alexa, and Google Assistant. Companies providing chatbot development services utilize conversational A.I. to create highly interactive chatbots. Those bots are deployed to disseminate knowledge about COVID-19.

Chatbots enables organizations to give people a low-friction, intuitive interface that makes it simple spreading information. More significantly, chatbots are successful all round the clock, which is critical in pandemic times. Chatbots also provide significant advantages in providing accurate information.

The information is often curated and dispersed through a chatbot. The details can also be personalized to match the target audience. For example, the United States Centers for Disease Control (C.D.C.) is using highly targeted information to raise American awareness of the virus.

WhatsApp chatbots on countering COVID-19 misinformation

Despite the fact that concerted efforts by governments and organizations around the world, Misinformation about coronavirus have spread widely over social media platforms. WhatsApp, the world's largest messaging platform, was working with W.H.O. to combat the deluge of Misinformation.

They were creating dedicated messaging services through WhatsApp. For the messaging program and answering COVID-19 questions, the website will also include alerts and the latest reports on the global pandemic. This collaborative chatbot app partnership is meant to play a significant role in combating fake news about COVID-19 cures, remedies, and risks.

The Indian Government has also adopted the Chatbot growth policy. It has launched a chatbot called a helpdesk MyGov Corona. The chatbot uses WhatsApp to provide checked information about the novel COVID-19-causing coronavirus. In the battle against the virus, even Indian states are not behind in deploying chatbot. For example, a chatbot named Cobot-19 has been launched by the Goa government. The bot was developed in collaboration with an automation start-up located in Bengaluru.

FAQ- frequently asked questions

• What are chatbots?

A chatbot is a software to simulate human communication through voice commands or text chats or both. Chatbots are tools based on Artificial Intelligence (A.I.), which can be integrated and used in any big messaging program.

• How much does building a chatbot cost?

A Chatbot 's creation cost depends on your needs and the intent of using the bot. The choice of platform for creation is also essential. When you need a simple chatbot embedded in an app, the cost would be comparatively smaller. More advanced, collaborative chatbots cost more than the simple ones.

• What is the A.I. conversational platform?

Conversational A.I. is an advanced version of Artificial Intelligence that enables people to interact with apps, websites, and devices. It uses the techniques of natural language processing (N.L.P.). The chatbots are the most famous examples of AI-based conversational devices.

Final verdict

The COVID-19 pandemic contributed to the rapid expansion of the use of chatbot technology worldwide. However, that trend will stay here even after the end of the pandemic. The usage chatbots are expected to grow significantly as a platform for healthcare. To use chatbots as an essential tool for combating disease outbreaks and other public health problems, organizations need further partnerships.

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