
AI Algorithm Developed by Mount Sinai to Diagnose Sleep Disorder
Mount Sinai has developed an AI algorithm to diagnose REM sleep behavior disorder (RBD) with high accuracy. π€π€
Discover the newest research about AI innovations in π€ Sleep.

Mount Sinai has developed an AI algorithm to diagnose REM sleep behavior disorder (RBD) with high accuracy. π€π€

A recent study explored a voice-activated assistant to help young adult cancer survivors manage insomnia. π€π±

Women entrepreneurs excelled at the UK Women in Innovation Awards, showcasing innovative health tech solutions. ππ‘

Depression in Chinese college students: key predictors identified through machine learning. Factors include anxiety, sleep quality, and gender differences. ππ§

Exploring innovative methods for diagnosing pediatric obstructive sleep apnea. π€π Advances in AI and biomarkers show promise! π

New research highlights a model detecting drivers’ sleep onset through slow eye movements. ππ€ Promising results for safety!

Health Tech Insights: Expectations for 2025 π
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. π₯β¨

Deep learning improves electromyography for diagnosing sleep apnea. π€π€ Promising results could enhance patient outcomes and clinical management.

Sleep biomarkers may aid in early neurodegenerative disorder detection. π€ Promising results from recent research highlight their potential. π§

A recent study on a digital twin intervention for type 2 diabetes shows promising one-year outcomes in glycemic control and medication reduction. ππ