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Preventing non-communicable diseases is difficult, let alone predicting them. Artificial Intelligence now enables physicians to predict CVD risk in patients.
Fremont, CA: In the healthcare sector, non-communicable diseases (NCD) such as diabetes, cardiovascular ailments, cancer, and strokes are on the rise. On a global scale, NCDs cause 63 percent deaths. With changes in lifestyle, diet, and stress, cardiovascular diseases are the major contributor to the NCDs. However, NCDs are treatable, especially cardiovascular diseases with early detection and preventive measures and management, including lifestyle and diet modification, and treatment can reduce mortality and morbidity drastically. Doctors, especially in India, cannot pinpoint the probability of cardiovascular disease. Artificial Intelligence (AI) is the answer to overcome the limitation of traditional health checks and enables deep insights into the prevention of cardiovascular diseases.
Artificial Intelligence has made extraordinary progress creating a shift in the medical landscape. AI-powered tools can help doctors fight NCDs, and it is already in use in neurology and oncology, followed by cardiology. With clinical expertise and Applied AI combined, many platforms such as Adult diabetes care pathway, cholesterol management, cardiovascular risk pathway, Hypertension treatment and control pathway, and prevention of stroke and CVA are under development. AI can play a significant role in predicting diseases and enabling physicians to make data-powered clinical decisions.
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In August 2018, Microsoft’s AI Network for Healthcare initiative, explicitly built to predict the risk of Cardiovascular Disease in the Indian population was launched, which is the first-ever AI-powered Cardiovascular Disease Risk Score API. Based on Microsoft Azure, the Cardiovascular Disease Risk Score helps in identifying a more accurate CVD risk score for the Indian population. Combining clinical expertise and Applied AI—large sample of retrospective data on health checks, including lifestyle attributes such as diet, physical activity, psychological stress, and anxiety, as well as tobacco and smoking—results in a score. Based on the score, the risk is categorized into high, moderate, and minimal. It enables physicians with the information to treat patients holistically with advice for lifestyle modification.
Over the last year, major hospitals have been leveraging AI-powered API to predict CVD risk and drive preventive cardiac care across the country. Over 200,000 people have already been screened, and in many cases, physicians were able to predict CVD risk in patients five to seven years in advance. This indicates that renowned health systems around the world will unite to scale the AI-powered API and contribute to reducing the risk of premature mortality from NCDs, including CVDs.
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