AI heart disease prediction tools show promise but are not ready for clinical use: review
A systematic review by researchers from India and the UK suggests that while AI shows promise for predicting cardiovascular disease, current models are not yet ready for routine clinical use. The study emphasizes the need for rigorous independent validation of these tools.
Why it matters
As cardiovascular disease is a leading cause of death in India, the development of reliable AI tools could be transformative, but premature adoption poses significant health risks.
Artificial intelligence (AI) could help India identify people at risk of cardiovascular disease (CVD) earlier and enable more personalised prevention, but the technology is not yet ready to guide routine clinical decisions, according to a recent systematic review by researchers from the Indian Institute of Science (IISc), M.S. Ramaiah University of Applied Sciences, and the London School of Hygiene and Tropical Medicine.
Published in BMC Medical Informatics and Decision Making , an open-access journal, the review assessed 30 studies published since 2017 on AI-based models developed to predict future cardiovascular disease among adults without established heart disease.
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