Top hospitals in India are now adopting AI to increase efficiency in health care. While every industry has been adopting the power of AI to make its processes efficient, it is the healthcare field that truly stands out for its considerable work with AI.
Initially, AI in the medical field was all about making decisions with least bit of human intervention. We are now, at a point to completely revolutionising the course of medicine and healthcare with the use of bots and humanoids.
The journey has now come a long way!!
AI has enabled us to get access to large data sets containing vital life-saving information. This information could be about patients, diseases, treatments, outcomes, survival rates, geographical locations and its likes.
New computing abilities can detect and analyse trends in data to make accurate predictions through machine learning. By using statistical approaches, computers learn and identify patterns, thus being able to make decisions with less human interference.
What is the benefit, if that is the question? Tasks are done efficiently, quicker and at a much lower cost. The resulting outcomes help doctors to assess risk and monitor health conditions better. They can make better diagnoses, and offer effective treatment to patients. The resulting data collected over the years is computed and stored for R&D purposes.
AI in healthcare has gradually evolved, and its main applications can be found in Tech innovations. Current AI applications generally fall in one of the below categories:
TRACKING AND MONITORING HEALTH
One of the significant contributions of AI is Healthcare Monitoring apps. These apps reduce doctor visits by focusing on keeping individuals healthy. Consumer health applications help in proactively managing a healthy lifestyle.
Not just that, with AI early detection of severe medical conditions, becomes possible. AI helps accurately diagnose and detect cancer, heart disease and other potentially threatening health conditions beforehand, to manage the prevention and treatments better.
Wearable devices, Trackers and other monitoring tools can track and monitor important health metrics, and record the same for analysis. They help in detecting early-stage ailments, thereby saving individuals from life-threating conditions, and curing diseases at a treatable stage.
DECISION MAKING AND DATA STORING
Storing the health metrics of a vast population is not an easy task. With the application of cognitive technology, medical information is now being stored, reviewed and studied exponentially faster than any human could.
With the power of AI, clinical decision making and taking actions has become more accessible. Aligning big data and predictive analytics has helped to make better clinical decisions and follow the correct course of treatment.
AI helps in recognising patients who are at the risk of developing a condition by identifying patterns. Factors such as lifestyle, environment, and genes affect these patterns.
TREATMENT AND POST CARE
Robots entered the field of medicine 3 decades ago. They range from simple lab bots to highly advanced surgical robots that can aid human surgeons.
They usually do repetitive tasks, help in rehabilitation, physical therapy, and support those with long term illnesses. They also help physicians take a more comprehensive approach to towards disease management.
Humanoids are being used to take care of ageing individuals, to make them feel less lonely, and help with mundane tasks.
RESEARCH AND DEVELOPMENT
AI helps in the field of drug research and drug discovery, by significantly reducing the time it takes for a new medicine to travel from a lab to the patient.
With the advent of naturalistic simulations, the training processes for medical care professionals are now streamlined.
From a patient’s viewpoint, AI is helping doctors tailor the best course of action for an ailing individual. By taking individual ‘patient’s data, we can track patients with similar symptoms. AI helps to get more in-depth knowledge and look for relations which a human doctor can’t process.
It goes without saying that there are downfalls to using AI such as miscalculation and judgemental errors. Often this can backfire and tarnish a ‘hospital’s name and reputation, thereby landing doctors and medical centres in substantial penalties.
Written by: Shaista Mujeeb