Mental Health Applications of Generative AI and Large Language Modeling in the United States

Sri Banerjee (), Pat Dunn, Scott Conard and Asif Ali
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Sri Banerjee: School of Health Sciences and Public Policy, Walden University, Minneapolis, MN 55401, USA
Pat Dunn: Center for Health Technology & Innovation American Heart Association, Dallas, TX 75231, USA
Scott Conard: Converging Health, Irving, TX 75039, USA
Asif Ali: McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA

IJERPH, 2024, vol. 21, issue 7, 1-12

Abstract: (1) Background: Artificial intelligence (AI) has flourished in recent years. More specifically, generative AI has had broad applications in many disciplines. While mental illness is on the rise, AI has proven valuable in aiding the diagnosis and treatment of mental disorders. However, there is little to no research about precisely how much interest there is in AI technology. (2) Methods: We performed a Google Trends search for “AI and mental health” and compared relative search volume (RSV) indices of “AI”, “AI and Depression”, and “AI and anxiety”. This time series study employed Box–Jenkins time series modeling to forecast long-term interest through the end of 2024. (3) Results: Within the United States, AI interest steadily increased throughout 2023, with some anomalies due to media reporting. Through predictive models, we found that this trend is predicted to increase 114% through the end of the year 2024, with public interest in AI applications being on the rise. (4) Conclusions: According to our study, we found that the awareness of AI has drastically increased throughout 2023, especially in mental health. This demonstrates increasing public awareness of mental health and AI, making advocacy and education about AI technology of paramount importance.

Keywords: mental health; ChatGPT; large language modeling; predictive analytics; prevention; diagnostic accuracy (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2024
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