Using AI To Predict Heart Attacks 18 Months Out - DZone AI

AI has already proven to be pretty adroit at spotting early signs of disease in medical data. The latest project, from researchers at Georgia Tech, shows the potential of AI to spot early signs of heart failure. The research, which appears in the Journal of the American Medical Informatics Association (JAMIA), utilizes deep learning to examine data for temporality to provide earlier detections of incidents that can often lead to heart failure. It's an approach that is relatively unique in the application of artificial intelligence in healthcare, yet the researchers believe it could allow for much earlier detection of heart issues by identifying incidents that usually result in heart failure up to 18 months into the future. They can achieve this by looking for temporal relations among events that appear in our electronic medical records. It's an approach that is often used in natural language processing, but much less so in deep learning.