US researchers seek to legitimize AI mental health care
- Researchers at the University of Utah introduced RiskPath, an open-source toolkit using explainable artificial intelligence to predict chronic diseases before symptoms appear, potentially transforming preventive health care.
- The RiskPath toolkit successfully predicted eight conditions, including depression and anxiety, using data from three long-term patient cohorts.
- Dartmouth College researchers believe AI can provide reliable psychotherapy, asserting that current therapists are insufficient to meet growing demand, according to Nick Jacobson.
- Experts, including Vaile Wright, suggest a future with AI-generated chatbots for mental health care, but some stress the need for more research on AI's true benefits and risks.
72 Articles
72 Articles

US researchers seek to legitimize AI mental health care
Researchers at Dartmouth College believe artificial intelligence can deliver reliable psychotherapy, distinguishing their work from the unproven and sometimes dubious mental health apps flooding today's market.
Researchers develop explainable AI toolkit to predict disease before symptoms appear
Researchers at the University of Utah's Department of Psychiatry and Huntsman Mental Health Institute have published a paper in Patterns introducing RiskPath, an open-source software toolkit that uses explainable artificial intelligence (XAI) to predict whether individuals will develop progressive and chronic diseases years before symptoms appear, potentially transforming how preventive health care is delivered.
University of Utah Scientists Unveil Explainable AI Toolkit for Early
Researchers from the University of Utah’s Department of Psychiatry and the Huntsman Mental Health Institute have unveiled a groundbreaking innovation in the realm of healthcare—an open-source software toolkit called RiskPath. This novel system leverages the power of Explainable Artificial Intelligence (XAI) to revolutionize the predictive capabilities concerning chronic and progressive diseases, enabling healthcare professionals to identify indi…
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