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

Abstract Number:

3745 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Poster 

Participants:

Vineet Srivastava (1), Shanta Ghosh (2), Dr. Runa Bhaumik (1)

Institutions:

(1) University of Illinois Chicago, N/A, (2) University of Illinois At Chicago, N/A

Co-Author(s):

Shanta Ghosh  
University of Illinois At Chicago
Dr. Runa Bhaumik  
University of Illinois Chicago

First Author:

Vineet Srivastava  
University of Illinois Chicago

Presenting Author:

Shanta Ghosh  
University of Illinois At Chicago

Abstract Text:

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.

Keywords:

Mental Health|Generative AI|Large Language Models (LLMs)|RAG| |

Sponsors:

Section on Text Analysis

Tracks:

Miscellaneous

Can this be considered for alternate subtype?

No

Are you interested in volunteering to serve as a session chair?

No

I have read and understand that JSM participants must abide by the Participant Guidelines.

Yes

I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is non-refundable.

I understand