Artificial intelligence may improve diabetes diagnosis: Study

Bethesda: According to a new study, researchers using a fully-automated artificial intelligence (AI) deep learning model were able to identify early signs of type 2 diabetes on abdominal CT scans. The study was published in the journal, 'Radiology'. Type 2 diabetes affects approximately 13 per cent of all U.S. adults and an additional 34.5 per cent of adults meet the criteria for prediabetes. Due to the slow onset of symptoms, it is important to diagnose the disease in its early stages. Some cases of pre-diabetes can last up to 8 years and an earlier diagnosis will allow patients to make lifestyle changes to alter the progression of the disease.