
Multimodal machine learning for language and speech markers identification in mental health.
Exploring multimodal machine learning in mental health diagnostics reveals promising accuracy and integration of text and audio markers. ππ§
Discover the newest research about AI innovations in π§ Mental Health.

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.

Monash University partners with Apollo Hospitals to advance clinical AI research using extensive health data. π€π»

Ambient AI shows promise in reducing healthcare provider burnout, enhancing well-being and patient care. ππ€

Anxiety in Pap-positive women can increase post-diagnostic procedures. π€ Artificial neural networks help predict this anxiety. π§

Government allocates Β£1.5 billion to tackle NHS waiting lists, aiming for two million extra appointments annually. π₯π°

Research highlights the potential of electronic health records in predicting Alzheimer’s and related dementias. ππ§ Key findings from the Cache County Study.