
NHS Implements AI to Identify Frequent Emergency Service Users
NHS uses AI to identify frequent A&E users, providing targeted support to improve care and reduce emergency visits. π₯π€
Discover the newest research about AI innovations in π§ Mental Health.

NHS uses AI to identify frequent A&E users, providing targeted support to improve care and reduce emergency visits. π₯π€

Recent research highlights key factors linked to Multiple Sclerosis. π§ Female gender, stress, and vitamin D deficiency are significant. π

Recent research highlights suicide patterns in Shiraz, revealing critical demographic insights and high-risk areas for intervention. ππΊοΈ

AI in social media listening enhances patient-focused drug development. π€π Insights from patient experiences drive better outcomes. π

Exploring ethical concerns in chatbot interventions for depression. π€π Risks of sentiment analysis and user autonomy highlighted.

Exploring multimodal machine learning in mental health diagnostics reveals promising accuracy and integration of text and audio markers. ππ§

Ginkgetin from Ginkgo biloba shows promise in reducing inflammation and aging effects by targeting the STING pathway. πΏβ¨

AI tool improves long COVID detection in health records, identifying more cases and enhancing patient care. π©Ίπ

Exploring 25 years of digital health research reveals trends in AI, mental health, and COVID-19 impacts. ππ»

Exploring ethical implications of GenAI in mental health. π€π§ Access and risks must be balanced for effective integration.