Apollo Hospitals Used Patient Data Over A Decade To Develop AI Heart Disease Risk Prediction Tool


Apollo Hospitals, one of India’s largest hospital chains, has harnessed ten years of data from more than 400,000 patients across India to develop an AI tool that predicts the risk of cardiovascular disease.


Launched yesterday, Apollo’s AI-based cardiovascular disease risk tool provides a risk score – categorized as high, moderate, and minimal – that takes into account the patient’s lifestyle characteristics, such as diet, tobacco and smoking preferences, and physical activity, as well as stress and anxiety reflected in respiratory rate and blood pressure reading.

A Newscast who cited the hospital statement noted that the risk prediction tool, when used in the Indian population, is more accurate than the Framingham risk score, one of the commonly used scoring systems around the world to assess patients’ risk of heart disease.

The AI ​​device has been validated in a long-term cohort health study by the Heart + Vascular Center at Maastricht University Medical Center in the Netherlands. It has also been validated by King George’s Medical University in Lucknow, Uttar Pradesh. A study on this tool is currently being peer reviewed for possible publication.


In 2016, India was responsible for one fifth of the 17.7 million deaths worldwide from cardiovascular diseases, such as ischemic heart disease and stroke, according to the World Health Organization . A study on the global burden of disease found that per 100,000 Indian citizens, about 272 people die from cardiovascular disease, which is higher than the global average of 235.

Deriving actionable insights through Microsoft Azure, Apollo Hospitals’ latest AI tool empowers physicians to provide “proactive, preventative and preventative” care to those at risk. It also allows them to provide “more holistic” advice to patients with specific information for lifestyle modification.


Studies are underway to use artificial intelligence to predict the risk of heart disease. Omron and Kyoto University in Japan have teamed up to study the use of AI and home-recorded health data to predict early signs of CVD. Researchers from University of Western Australia recently received a government grant to develop a tool that can predict coronary heart disease risk from heart CT scans.

Meanwhile, an existing AI-enabled device developed by VUNO analyzes the potential risk of cardiac arrest using key vital signs, such as blood pressure and heart rate. The VUNO Med DeepCARS recently received regulatory approval in South Korea.


“While some predictive tools exist to help physicians understand the likelihood of their patients developing heart disease, most of them are based on Western data sets and do not take into account regional variations in risk. This impacts their accuracy when applied in an Indian context. Apollo’s AI-powered cardiovascular disease risk tool will change that and put the knowledge and means to predict and prevent heart disease in the hands of the doctor. Available so far only for Apollo physicians, it is a proud moment for us to dedicate this AI tool to all physicians across the country, ”said Dr. Prathap C. Reddy, President of Apollo Hospitals Group.


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