
Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review.
Passive sensing & ML enhance mental health monitoring. 42 studies show 92.16% accuracy in anxiety detection. ππ§
Discover the newest research about AI innovations in π€ Sleep.

Passive sensing & ML enhance mental health monitoring. 42 studies show 92.16% accuracy in anxiety detection. ππ§

DarioHealth partners with GreenKey Health to improve sleep health solutions. The collaboration focuses on obstructive sleep apnea management. π€π€

Sleep deprivation severely impacts attention and emotional regulation in pilots. 3 hours of sleep aids recovery; 8 hours needed for full attention restoration. π€βοΈ

Revolutionary SSC-SleepNet enhances N1 sleep detection in EEG, achieving F1-scores up to 60.2%! π€π

Tinnitus risk factors identified: hearing health, mood, neuroticism, and sleep. Predictive model shows 78% accuracy! ππ

Innovations in orthognathic surgery enhance precision and outcomes. Key advancements include AI, 3D imaging, and virtual planning. π¦·β¨

Exploring subthalamic nucleus activity reveals 94% accuracy in classifying sleep stages, aiding sleep disorder therapies. π§ π€

Paediatric sleep medicine is evolving. π Key topics include climate impact, education, and technology’s role in improving children’s sleep. π€

AI is transforming obstructive sleep apnea research. π Key trends include deep learning and personalized treatment. π€

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