Groundbreaking AI Tool RiskPath Launched in Utah to Predict Chronic Diseases
SALT LAKE CITY (KUTV) — Researchers in Utah have unveiled RiskPath, an innovative artificial intelligence tool aimed at forecasting serious chronic diseases well before they are clinically diagnosed. Dr. Nina de Lacey, a lead developer, emphasized the tool’s potential, stating, "You don’t have anxiety yet, but maybe we can stop that ever happening." RiskPath utilizes extensive data over time to assess risks for conditions like heart disease, diabetes, and depression more accurately than existing medical methods.
The emphasis is on identifying individuals at risk before they experience symptoms. With rising concerns about suicide rates in Utah, Dr. de Lacey hopes this tool can avert crises by issuing alerts when individuals may be nearing “the danger zone.”
Meanwhile, Dr. Manish Parashar, the University of Utah’s Chief AI Officer, heralded the technology’s benefits but warned against potential over-reliance on AI systems, which can sometimes produce incorrect information. Unlike others, RiskPath is engineered to provide explainable results, allowing doctors to understand risk assessments clearly.
Both doctors advocate for cautious use of AI in healthcare, urging patients to consult health professionals before relying on AI-driven applications and calling for regulatory frameworks to ensure safety.
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