Technology

The Paradox of Sleep-maxxing to Orthosomnia
Behavioral & Mental Health Digital Health Insomnia Patient Health

The Paradox of Sleep-maxxing to Orthosomnia

“Sleep-maxxing” is framed as a commitment to wellness, however clinical evidence suggests this hyper-fixation often functions as a catalyst for sleep impairment.  The 2026 American Journal of Lifestyle Medicine review emphasizes that sleep is a process best supported by circadian rhythm alignment and low physiological arousal.  When individuals impose rigid […]

AI Identifies Previously Unrecognized Health Insights in Routine Sleep Studies
Artificial Intelligence Clinical Insights & Research Technology

AI Identifies Previously Unrecognized Health Insights in Routine Sleep Studies

A novel AI model can use information collected during routine sleep studies to identify patients’ long-term health risks, according to a new study published in Nature Communications. Developed by a multidisciplinary research team, the model uncovered hidden sleep patterns linked to risks including heart disease, cognitive decline and death. The […]

New Study Uses Sleep Monitoring and AI to Detect Alzheimer's
Artificial Intelligence Clinical Insights & Research Technology

New Study Uses Sleep Monitoring and AI to Detect Alzheimer’s

Researchers from Universidad Carlos III de Madrid (UC3M) and Hospital Universitario Severo Ochoa in Leganés, part of the public health network of the Comunidad de Madrid, have developed a methodology that uses artificial intelligence (AI) to analyze brain electrical activity during sleep and facilitate the early diagnosis of Alzheimer’s. The […]

sovaSage Introduces AI-Powered Clinical Indicator Intelligence™
Artificial Intelligence

sovaSage Introduces AI-Powered Clinical Indicator Intelligence to Advance PAP Patient Management

sovaSage™ announced the new release of Clinical Indicator Intelligence™, an enhanced feature within sovaGuide™ featuring Jeanie™. Using machine learning, the new capability continuously analyzes multiple PAP therapy variables to help providers identify patients who may require additional clinical evaluation before therapy challenges lead to reduced benefit or treatment abandonment. The […]