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Researchers tell House veterans committee AI tools can identify and help treat sleep disorders common among veterans
Summary
University of Arizona and other witnesses described AI and machine-learning tools to detect sleep apnea and support adherence to therapy; witnesses emphasized implementation science and the need for clinician workflow integration to realize benefits.
Dr. Sairam Parthasarathy, chief of pulmonary, allergy, critical care and sleep medicine at the University of Arizona, told the committee that sleep and circadian research yields cross‑cutting benefits for veterans and that implementation science is necessary to bring algorithms into routine care.
Parthasarathy said many veterans have undiagnosed sleep apnea and that AI/ML algorithms embedded in electronic health records can flag patients at high risk…
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