AI heart disease prediction tools show promise but are not ready for clinical use: review
The findings are particularly relevant for India, where cardiovascular disease accounts for nearly one-third of all deaths and often affects people at younger ages than in many other countries
A recent systematic review of 30 studies published since 2017 on AI-based models developed to predict future cardiovascular disease among adults without established heart disease has highlighted the promising potential of AI in identifying individuals at risk of cardiovascular disease (CVD) earlier and enabling more personalised prevention.
However, the technology is not yet ready to guide routine clinical decisions, according to researchers from the Indian Institute of Science, M.S. Ramaiah University of Applied Sciences, and the London School of Hygiene and Tropical Medicine. The review emphasizes the need for robust external validation, calibration, and assessment of clinical usefulness before AI tools can be confidently integrated into primary care or public health programmes.
Brief written by urgent.news from The Hindu Health's own syndicated text. Machine-written — it may contain errors, so check the original before relying on it.
