What is Artificial Intelligence (AI)?
Artificial intelligence means - intellectual ability developed by artificial means. According to John McCarthy, the father of artificial intelligence, it is the science and engineering of making intelligent machines, especially intelligent computer programs, that is, the intelligence displayed by machines. It uses machine learning to mimic human intelligence.
Artificial Intelligence (AI) in Healthcare Industry
Artificial Intelligence (AI) has proved to be an important and effective technology for the healthcare sector as it has revolutionized medical equipment, diagnosis, research etc. 
Apart from using computing techniques for better and faster diagnosis of diseases, artificial intelligence has various important applications as complex algorithms can be used to simulate human cognition for analysis and interpretation of complex medical and health-related data.
Artificial Intelligence (AI) systems can suggest the best course of treatment by handling and analyzing large chunks of data. Many healthcare companies have also designed digital applications like Lybrate, WebMD, etc., where patients can report their patients and seek medical help from healthcare professionals.
Since the cost of living is increasing, the cost of healthcare is decreasing. It is not necessary for healthcare that we can afford it. If we can find a solution that meets the needs of a large population at a low cost, we can reduce mortality and increase response to action.
Artificial Intelligence (AI) can be used as a corrective technology, which can provide a better solution to this problem. Artificial intelligence can help in a number of ways, which is essential to fill the gap between the available health resources. Artificial Intelligence provides a solution that can act as a primary layer for the underprivileged to get health counseling.
With mobile phones and affordable data increasing connectivity, the masses can be benefited by bringing about social change and affordable health care. The barriers to affordability and access can be removed by introducing Artificial Intelligence (AI). Computers can be made more useful and accessible by understanding complex principles and making them easier for human understanding and use.
Healthcare is emerging as one of the biggest recipients of the artificial intelligence revolution globally, but there is a huge reliance on investment. If the application of Artificial Intelligence (AI) in healthcare is increased, the scientific community will be able to adapt it to deliver research results as well as services. Precision medicine results and quality of services will increase with timely prediction of diseases.
Such an artificial intelligence-based app already exists, which helps people to continuously work on their daily lifestyle to improve overall health. AI-based apps, either on you smartphone, can record and store data and provide unique visualizations of health data that are appealing to individuals and easy to follow.
We have been seen by users of wearable devices as change and concern about healthcare. Such tools work on a cognitive coaching system, which provides essential advice regarding fitness, sleep and nutrition etc.
2. Timely Disease Detection and Prevention
With the help of artificial intelligence, timely signals about diseases such as irregular breathing patterns, changes in blood pressure patterns, SPO2 levels, or rapid weight loss, heart, diabetes and in some cases cancer Signs of associated disease can also be detected.
Historical data from mammography of breast cancer patients can be used to train artificial intelligence models that can pinpoint signs of breast cancer in cells or tissues at pre-stages. Such deterrence can make breast cancer a prognosis with intervention before the disease strikes. In recent times, the authorities have been prepared to give advance notice to take timely action on prevention of COVID-19 spread.
It is too early for more in-depth research, but by using deep learning models, future governments will be able to pinpoint future virus spread patterns as we do now in the case of rain and cyclones.
3. Assisting the Medical Community with Diagnosis
In many cases, doctors today treat on the basis of their own experience. While they are often correct, there have been times when the wrong diagnosis has led to the wrong treatment. Doctors often use pathological reports, X-rays, MRIs, and other advanced tests to understand disease, but the results are largely based on their experiments.
Artificial intelligence models can be trained to derive population classifications or disease patterns on inaccurate data. At the same time, the generated data can be used as a regression problem, where a definite decision is made about the disease. By combining such models, doctors can arrive at an evidence-based diagnosis. AI will help in planning better treatment of deadly diseases.
How Healthcare Facilities be improved with the help of Artificial Intelligence (AI)?
The growing population and increased migration are creating an imbalance in the need and availability of health facilities from doctors.Since the cost of living is increasing, the cost of healthcare is decreasing. It is not necessary for healthcare that we can afford it. If we can find a solution that meets the needs of a large population at a low cost, we can reduce mortality and increase response to action.
Artificial Intelligence (AI) can be used as a corrective technology, which can provide a better solution to this problem. Artificial intelligence can help in a number of ways, which is essential to fill the gap between the available health resources. Artificial Intelligence provides a solution that can act as a primary layer for the underprivileged to get health counseling.
With mobile phones and affordable data increasing connectivity, the masses can be benefited by bringing about social change and affordable health care. The barriers to affordability and access can be removed by introducing Artificial Intelligence (AI). Computers can be made more useful and accessible by understanding complex principles and making them easier for human understanding and use.
Healthcare is emerging as one of the biggest recipients of the artificial intelligence revolution globally, but there is a huge reliance on investment. If the application of Artificial Intelligence (AI) in healthcare is increased, the scientific community will be able to adapt it to deliver research results as well as services. Precision medicine results and quality of services will increase with timely prediction of diseases.
If Artificial Intelligence (AI) is used in the country, then the following shortcomings can be controlled:
- Shortage of qualified professionals and services like qualified doctors, nurses, technicians and infrastructure can be bridged.
- Non-uniform access to healthcare will be reduced. Since physical access is a major barrier to preventive and curative health services, as well as the disparity between rural and urban India, this will be greatly reduced.
- The cost of health services is so high that the poor and helpless people have to bear the biggest hit. With the advent of artificial intelligence, healthcare becomes affordable.
- There will be a huge increase in awareness and access to health services.
- Since most of the healthcare facilities are confined to Tier-1 and Tier-2 cities, with the introduction of Artificial Intelligence in healthcare, absenteeism will be reduced to zero.
- Artificial intelligence (AI) solutions in healthcare can be addressed by expanding scarce personnel and laboratory facilities. Artificial Intelligence can remove barriers to access barriers.
Possible use cases of artificial intelligence in healthcare could be the following:
1. Healthcare Preventive
Such an artificial intelligence-based app already exists, which helps people to continuously work on their daily lifestyle to improve overall health. AI-based apps, either on you smartphone, can record and store data and provide unique visualizations of health data that are appealing to individuals and easy to follow.
We have been seen by users of wearable devices as change and concern about healthcare. Such tools work on a cognitive coaching system, which provides essential advice regarding fitness, sleep and nutrition etc.
2. Timely Disease Detection and Prevention
With the help of artificial intelligence, timely signals about diseases such as irregular breathing patterns, changes in blood pressure patterns, SPO2 levels, or rapid weight loss, heart, diabetes and in some cases cancer Signs of associated disease can also be detected.
Historical data from mammography of breast cancer patients can be used to train artificial intelligence models that can pinpoint signs of breast cancer in cells or tissues at pre-stages. Such deterrence can make breast cancer a prognosis with intervention before the disease strikes. In recent times, the authorities have been prepared to give advance notice to take timely action on prevention of COVID-19 spread.
It is too early for more in-depth research, but by using deep learning models, future governments will be able to pinpoint future virus spread patterns as we do now in the case of rain and cyclones.
3. Assisting the Medical Community with Diagnosis
In many cases, doctors today treat on the basis of their own experience. While they are often correct, there have been times when the wrong diagnosis has led to the wrong treatment. Doctors often use pathological reports, X-rays, MRIs, and other advanced tests to understand disease, but the results are largely based on their experiments.
Artificial intelligence models can be trained to derive population classifications or disease patterns on inaccurate data. At the same time, the generated data can be used as a regression problem, where a definite decision is made about the disease. By combining such models, doctors can arrive at an evidence-based diagnosis. AI will help in planning better treatment of deadly diseases.
4. A-Based Operational Support for Healthcare Systems
Artificial intelligence-assisted chat bots, conversion-related AI tools could lead to health issues reaching a longer and more remote population. It will also be cheaper and advertisers may also be subsidized simultaneously.
The development of artificial weapons or glasses assisted through artificial intelligence models can greatly help people with disabilities. Even in general surveillance and access control, artificial intelligence-based video analytics systems can simplify the process.
Artificial intelligence-assisted chat bots, conversion-related AI tools could lead to health issues reaching a longer and more remote population. It will also be cheaper and advertisers may also be subsidized simultaneously.
The development of artificial weapons or glasses assisted through artificial intelligence models can greatly help people with disabilities. Even in general surveillance and access control, artificial intelligence-based video analytics systems can simplify the process.
10 Common Applications of Artificial Intelligence in Health Care
1. Medical Records and Other Data ManagementData management is the most widely used application of artificial intelligence and digital automation because the first step in health care is compiling and analysing information (such as medical records and other past history).
To provide faster, more consistent access, robots collect, store, re-format, and trace data.
2. Working in Repetitive Tasks
Robots can perform tests, X-rays, CT scans, data entry, and other mundane tasks more quickly and accurately. The amount of data to analyse in cardiology and radiology can be overwhelming and time consuming.
In the future, cardiologists and radiologists should only look at the most complicated cases where human supervision is necessary.
3. Treatment Planning
Artificial intelligence systems have been developed to analyse data - such as notes and reports from a patient's file, external research, and clinical expertise - in order to assist in the selection of the best, individually tailored treatment path.
4. Online Consultation
In the United Kingdom, apps like Babylon use AI to provide medical consultations based on personal medical history and common medical knowledge. Users enter their symptoms into the app, which compares them to a database of illnesses using speech recognition. Babylon then suggests a course of action based on the user's medical history.
5. Online Nurses
Molly, a digital nurse created by the startup Sensely, helps people monitor patients' conditions and follow up on treatments between doctor visits. The programme employs machine learning to assist patients, with a focus on chronic illness conditions.
Boston Children's Hospital created an app for Amazon Alexa in 2016 that provides basic health information and advice to parents of sick children. The app responds to frequently asked questions about medications and whether symptoms necessitate a doctor's visit.
6. Medication Administration
The National Institutes of Health developed the AiCure app to track a patient's medication use. The webcam on a smartphone is combined with AI to automatically confirm that patients are taking their prescriptions and assist them in managing their condition. People with serious medical conditions, patients who defy doctor advice, and clinical trial participants may be the most common users.
7. Drug Development
Clinical trials for pharmaceuticals can take more than a decade and cost billions of dollars. Making this process faster and less expensive has the potential to change the world. During the recent Ebola virus scare, an AI-powered programme was used to scan existing medicines for those that could be redesigned to combat the disease.
The programme discovered two medications that may reduce Ebola infectivity in one day, whereas similar research usually takes months or years - a difference that could save thousands of lives.
8. Medical Precision
Genetics and genomics examine DNA information for mutations and links to disease. Body scans using AI can detect cancer and vascular diseases early and predict health issues people may face based on their genetics.
9. Monitoring of Health
FitBit, Apple, Garmin, and other wearable health trackers monitor heart rate and activity levels. They can send alerts to users to get more exercise and share this information with doctors (and AI systems) for additional data points on patients' needs and habits.
10. Healthcare System Evaluation
97% of healthcare invoices in the Netherlands are digital. A Dutch company uses artificial intelligence to sift through data to highlight treatment errors, workflow inefficiencies, and to assist local healthcare systems in avoiding unnecessary patient hospitalizations.
These are only a few of the solutions AI is providing to the healthcare industry. More solutions to save time, lower costs, and increase accuracy will be possible as innovation pushes the capabilities of automation and digital workforces from providers like Novatio.
What is the future of Artificial Intelligence (AI)?
The healthcare industry is embracing transformative technologies to improve patient care. Artificial intelligence (AI) in medicine and healthcare has been a hot topic in recent years. In this digital age, it is becoming a revolutionary technology in healthcare.
In healthcare, artificial intelligence (AI) takes over all routine tasks performed by physicians, administrators, and even patients. AI-powered tools lower service costs and provide high-level treatments in record time. This was the primary pillar for increased AI deployment in healthcare.
The future of AI in healthcare and medicine is bright, with limitless opportunities for growth for healthcare providers. The benefits of artificial intelligence in healthcare are limitless, ranging from digitizing doctor consultations, automatic record maintenance, and virtual access to patients' health conditions to minimally invasive robotic surgery and telemedicine services. AI technology is crucial in accelerating digital workflows across care services.
