Discover the newest research about AI innovations in ๐ง Mental Health.
AI agents reduce depression and anxiety in young adults: 28-day trial shows significant improvements! ๐๐ค
Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ๐๐ซ
AI in Mental Health: 3158 entities, 3248 relationships mapped for improved diagnosis & treatment. Challenges remain. ๐ค๐ง
Exploring the engAGE Project: Social Robots Combat Cognitive Decline in Older Adults ๐ค๐
HIV discourse on social media analyzed 191,972 tweets, revealing 63% focused on education. ๐๐ฌ
Exploring chatbot interactions: 1,553 users reveal emotional support’s impact on media dependence and usage intention. ๐ค๐ฌ
Actigraphy data reveals AI’s potential in detecting depression: 0.679-0.833 AUROC accuracy across demographics. ๐๐ง
Evaluating ASR in clinical settings: WER ranges from 0.31 to 0.58 in schizophrenia samples. Context matters! ๐๐ง
Exploring ethical implications of GenAI in mental health: accessibility, risks, and strategic assessment tools. ๐ค๐ง
Large language models show promise in mental health assessment and diagnosis. Key findings from our review of a PubMed article reveal significant performance differences. ๐๐ง
