
Artificial intelligence in obstructive sleep apnea: A bibliometric analysis.
AI is transforming obstructive sleep apnea research. π Key trends include deep learning and personalized treatment. π€
Discover the newest research about AI innovations in π€ Sleep.
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€
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§