Study finds how AI helps to predict diabetes complications in patients

In the United States, more than 37 million individuals have diabetes, yet many of them don’t receive immediate treatment, which can result in expensive or even fatal consequences.

In primary care settings, there are effective therapies available, but doctors lack the resources to recognise patients who are most at risk. Primary Care Forecast, a clinical decision support system that employs deep learning to forecast which patients are most likely to encounter difficulties, is being developed by researchers at the University of Houston to stop poor health outcomes before they happen.

The first tool to be developed within the innovative AI system is the Diabetes Complication Severity Index (DCSI) Progression Tool, which, in addition to a patient’s health history,