University of Nottingham researchers created an AI system that scanned routine medical data to predict which patients would have strokes or heart attacks within 10 years. The AI system beat the standard method of prediction, correctly making calls in 355 more cases than traditional means. Predicting cardiovascular events like strokes and heart attacks is a notoriously challenging task. In fact, the researchers note in their recent paper that around half of all strokes and heart attacks occur in patients who were never identified as being "at risk." The records included a decade of health outcomes, lab data, drug information, hospital records, and demographic information.

Here at The Human OS, we are slightly obsessed with matchups between artificial intelligence and doctors. In many experiments (though not yet in many clinics), AI systems are showing great promise in diagnosing diseases, analyzing medical images, and predicting health outcomes. They've even performed better than human doctors in certain tasks like surgical stitching and diagnosing autism in infants. Now, in the latest win for AI medicine, researchers at the University of Nottingham in the UK created a system that scanned patients' routine medical data and predicted which of them would have heart attacks or strokes within 10 years. When compared to the standard method of prediction, the AI system correctly predicted the fates of 355 more patients.