Indian scientists create artificial intelligence that can trace diabetes and pre-diabetes

A team of Indian scientists have developed an artificial intelligence (AI) algorithm that is derived from the features of individual heartbeats recorded on an ECG (electrocardiogram), and can accurately predict diabetes and pre-diabetes. The team from Lata Medical Research Foundation in Nagpur included clinical data from 1,262 individuals. A standard 12-lead ECG heart trace lasting 10 seconds was done for each of the participants. And 100 unique structural and functional features for each lead were combined for each of the 10,461 single heartbeats recorded to generate a predictive algorithm named DiaBeats. Based on the shape and size of individual heartbeats, the DiaBeats algorithm quickly detected diabetes and prediabetes with an overall accuracy of 97 per cent and a precision of 97 per cent, irrespective of influential factors, such as age, gender, and co-existing metabolic disorders.