Gen AI for Tailored Mental Health Interventions: Utilizing LLMs to Generate Personalized Coping Strategies, Therapy Plans, or Even Virtual Mental Health Support Systems Based on Individual User Data and Psychological Assessments

Authors: Antony Ronald Reagan Panguraj

DOI: https://doi.org/10.5281/zenodo.14951390

Short DOI: https://doi.org/g86q4t

Country: USA

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Abstract: Formerly, mental health interventions mainly involved a universal treatment plan but, with the aid of Generative AI (Gen AI) technology, there is hope to gain an individualized treatment plan. Employing Generative AI especially Large Language Models (LLMs), it is very much possible to scan through huge data from psychological tests, historical background, and behavioural trends to come up with personalized management solutions, therapeutic framework, and even artificial intelligence-based mental health care solutions. These AI systems can learn user’s learning needs and change the interventions and provisions in accordance with user data and the user’s emotional response in real time. Through employing LLMs, mental health care workers along with the help of artificial intelligence can develop individualized treatment approaches in which the needs of the recipient are fulfilled.
Utilizing NLP, LLMs can consider text from conversation or interviews, and examine patient histories and psychological assessments for structured patterns as to derive custom advice for stress management and treating specific disorders. Furthermore, these AI systems are capable of learning from the users and always updating their given recommendations with the flexibility to deal with the dynamic market of people’s mental health requirements. This not only saves considerable time for developing individual programs but also contributes to the increase of availability and methodological approach to solving mental health problems which, in turn, expands the circle of people who could use this kind of help. ASIDE from these, using AI on a system-based practice of mental health support can be cheaper than actual face-to-face intervention, which is important in places where psychiatrists and therapists are few and far between.
Thus, LLMs are effective in enhancing the effectiveness of the mental health care programmes by performing real-time interventions and making modifications based on ongoing measurements. These AI solutions for mental health disorders have the potential to transform the way mental health services are delivered consequently offering improved scalability of personalized mental health treatment as well as access for many people who otherwise cannot afford traditional therapy. This abstract focuses on the enhancement of integrating AI to deliver tailored mental health services to individuals so that society can advance a notch throughout the attainment of optimal mental health for its citizens.

Keywords: Generative AI, Mental Health, Coping Strategies, Therapy Plans, Personalized Interventions, Large Language Models

Paper Id: 232201

Published On: 2022-09-11

Published In: Volume 10, Issue 5, September-October 2022

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