Tools & Strategies News

AI Clinical Decision Support Tool Predicts Risk of Diabetes Complications

Researchers at the University of Houston have developed an artificial intelligence-based clinical decision support tool to predict which diabetes patients are at a higher risk of complications.

diabetes risk stratification

Source: Getty Images

By Shania Kennedy

- Researchers at the University of Houston (UH) have developed an artificial intelligence (AI)-based clinical decision support tool that leverages deep learning (DL) to predict which patients are more likely to experience diabetes complications.

The Centers for Disease Control and Prevention (CDC) report that 11.3 percent of the population, or 37.3 million people, have diabetes in the US. Like other chronic diseases, diabetes can lead to additional health problems or complications, such as chronic kidney disease, nerve damage, and issues related to mental health, oral health, foot health, hearing, and vision.

To reduce the percentage of patients who experience complications and lower the number of complications impacting each patient, the researchers are developing Primary Care Forecast. This clinical decision support system relies on DL and patient health history to predict which patients are likely to experience complications.