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  11. Mental Health Applications Of Generative Ai And Large Language Modeling In The United States.

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

Sri Banerjee1, Pat Dunn2, Scott Conard3

  • 1School of Health Sciences and Public Policy, Walden University, Minneapolis, MN 55401, USA.

International Journal of Environmental Research and Public Health
|July 27, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

Public interest in artificial intelligence (AI) for mental health is rapidly growing. Searches for AI and mental health are predicted to increase by 114% by the end of 2024.

Area of Science:

  • * Digital Health
  • * Artificial Intelligence
  • * Mental Health Technology

Background:

  • * Artificial intelligence (AI), particularly generative AI, has seen significant advancements and broad applications.
  • * Mental illness prevalence is increasing, creating a need for innovative diagnostic and treatment tools.
  • * There is a lack of research quantifying public interest in AI for mental health applications.

Purpose of the Study:

  • * To quantify public interest in AI for mental health using Google Trends data.
  • * To forecast future trends in AI and mental health searches.
  • * To assess the growth of AI awareness in the mental health sector.

Main Methods:

  • * Utilized Google Trends to analyze relative search volume (RSV) for terms like "AI", "AI and Depression", and "AI and anxiety".
Keywords:
ChatGPTdiagnostic accuracylarge language modelingmental health

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  • * Employed Box-Jenkins time series modeling for forecasting.
  • * Focused on data within the United States for the period leading up to the end of 2024.

    • Main Results:

    • * Observed a steady increase in AI interest throughout 2023, with notable fluctuations attributed to media coverage.
    • * Predictive models forecast a 114% rise in AI and mental health interest by the end of 2024.
    • * Indicated a significant upward trend in public engagement with AI applications.

    Conclusions:

    • * Public awareness of AI's role in mental health has substantially increased in 2023.
    • * The findings highlight a growing public interest at the intersection of AI and mental health.
    • * Emphasized the critical need for advocacy and education regarding AI technology in mental healthcare.
    predictive analytics
    prevention