53 Enhancing Mental Health Care with Generative AI & Open-Source LLMs

Oregon Convention Center 

Mental health challenges, including depression are closely linked with the potential for developing suicidal ideation. Detecting these ideations early is crucial for effective treatment. With use of artificial intelligence (AI) we can contribute to early detection of suicidal ideation and improve personalized mental health. We explore the use of annotated mental health discussions from Reddit to develop a tailored model called PsychBert for identifying mental health disorders. The model's efficacy was evaluated and compared to OpenAI's GPT-3.5 using Zero-shot classification, showing superior performance in identifying different mental disorders. The study integrated retrieval-augmented generation (RAG) for enhanced diagnostic recommendations and utilized the Gemini-Pro Model for customized diagnostic reports. The custom-developed PsychBert model outperformed OpenAI's GPT-3.5, achieving higher AUC scores. Using the AWS platform, the approach introduces a scalable foundation for enhancing mental health services. Future efforts will focus on incorporating Electronic Health Record (EHR) data to address health disparities and explore generative AI to transform mental health.

Mental Health

Generative AI

Large Language Models (LLMs)

RAG 

Section on Text Analysis