
A multi-dataset exploratory framework for understanding digital behavior and substance use risk profiles.
Exploring digital behavior’s impact on substance use: Nonlinear relationships found! ππ§ Key insights from a multi-dataset study.
Discover the newest research about AI innovations in π§ Mental Health.

Exploring digital behavior’s impact on substance use: Nonlinear relationships found! ππ§ Key insights from a multi-dataset study.

Innovative brain tumor classification using ResNet101 and multi-scale attention shows 95% accuracy! π§ π

Hertfordshire Community NHS Trust introduces AI voice technology to enhance community and mental health services. π₯π¬

Evaluating LLMs in headache management: ChatGPT-4o excels in diagnostic accuracy, but overall performance remains below expert standards. π§ π

Smartphone gait analysis can classify age and sex with 93.5% accuracy, aiding health assessments in low-resource settings. π±π£

AI enhances personalized treatment for eating disorders, analyzing 35 participants’ EMA data over 14 weeks. ππ€

Digital addiction impacts health significantly, with prevalence highest in adolescents. Neurobiological changes mirror substance use disorders. π±π§

Exploring Apathy, Depression, and Anhedonia: Key Findings from a Comprehensive Study π§ π

LLMs show promising alignment with therapists in MI, but long-term coherence and quality need improvement. ππ€

AI in Osteoporosis Detection: YOLOv4 achieves 78.1% accuracy for osteoporosis classification and 68.3% for fractures. ππ¦΄