Researchers Develop AI Toolkit for Predicting Diseases Prior to Symptom Onset
A team of researchers from the University of Utah has developed an innovative software tool called RiskPath. The open-source platform uses explainable AI (XAI) to forecast the likelihood of people developing long-term and progressive health conditions years before any symptoms start to show. This development could mark a major shift in how preventive care is approached in the medical field. Explainable AI refers to systems that not only make decisions but also communicate how those decisions are made, in a way that humans understand. RiskPath stands out by applying this principle to complex health data collected over time. It examines…