Discover the newest research about AI innovations in π§ Mental Health.
Youth mental health data access is crucial for research. π This article reviews vital datasets for impactful studies. π§
AI agents reduce depression and anxiety in young adults: 28-day trial shows significant improvements! ππ€
Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ππ«
AI in Mental Health: 3158 entities, 3248 relationships mapped for improved diagnosis & treatment. Challenges remain. π€π§
Exploring the engAGE Project: Social Robots Combat Cognitive Decline in Older Adults π€π
HIV discourse on social media analyzed 191,972 tweets, revealing 63% focused on education. ππ¬
Exploring chatbot interactions: 1,553 users reveal emotional support’s impact on media dependence and usage intention. π€π¬
Actigraphy data reveals AI’s potential in detecting depression: 0.679-0.833 AUROC accuracy across demographics. ππ§
Evaluating ASR in clinical settings: WER ranges from 0.31 to 0.58 in schizophrenia samples. Context matters! ππ§
Exploring ethical implications of GenAI in mental health: accessibility, risks, and strategic assessment tools. π€π§
