The Role of Artificial Intelligence in Mental Health: A Comprehensive Review

Olawade DB, et al. Enhancing mental health with artificial intelligence: current trends and future prospects. Int J Ment Health Syst. 2024;18:12.

Talati D. Artificial intelligence in mental health diagnosis and treatment. J Ment Health Clin Psychol. 2023;7(1):1–7

World Health Organization. World mental health report: transforming mental health for all. Geneva: WHO; 2022

D’Alfonso S. Artificial intelligence and mental health: opportunities and challenges. Front Digit Health. 2020;2:6

Koutsouleris N, et al. From promise to practice: towards the realisation of AI-informed mental health care. Lancet Digit Health. 2022;4(6):e435–45

Carr S. AI gone mental: engagement and ethics in data-driven technology for mental health. J Ment Health. 2020;29(2):125–30

Rahsepar Meadi M, et al. Exploring the ethical challenges of conversational AI in mental health care: scoping review. JMIR Ment Health. 2025;12:e60432.

Huckvale K, Venkatesh S, Christensen H. Toward clinical applications of smartphone sensing: a review of digital phenotyping for mental health. Curr Opin Psychol. 2019;36:13–7.

Chancellor S, De Choudhury M. Methods in predictive techniques for mental health status on social media: a critical review. NPJ Digit Med. 2020;3:43.

Li J, et al. Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being. JMIR Ment Health. 2023;10:e47232

Vaidyam AN, Wisniewski H, Halamka JD, Kashavan MS, Torous JB. Chatbots and conversational agents in mental health: a review. Psychiatr Clin North Am. 2019;42(4):627–35.

Thieme A, et al. Designing human-centered AI for mental health: developing clinically relevant applications for online CBT treatment. Proc ACM Hum Comput Interact. 2023;7(CSCW2):1–29.

Miner AS, Milstein A, Schueller S, et al. Smartphone-based conversational agents and responses to users with depression. JAMA Intern Med. 2016;176(5):619–25

Cross S, et al. Use of AI in mental health care: community and mental health professionals’ survey. JMIR Ment Health. 2024;11:e51995

Ribeiro MT, Singh S, Guestrin C. “Why should I trust you?” Explaining the predictions of any classifier. In: KDD '16: Proc of the 22nd ACM SIGKDD. 2016. p. 1135–44.

Floridi L, Cowls J, Beltrametti M, et al. AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds Mach. 2018;28:689–707.

Xu H, Markson L, Dong J, et al. Bias in AI emotion recognition: a systematic review of cultural factors. AI Soc. 2024;39:105–19.

Brisimi TS, Chen R, Mela T, Olshevsky A, Paschalidis IC, Shi W. Federated learning of predictive models from federated EHR data. Sci Rep. 2018;8:1–8.

Torous J, Roberts LW. Needed innovation in digital health and smartphone applications for mental health: Transparency and trust. JAMA Psychiatry. 2017;74(5):437–38.

Topol E. Deep medicine: how artificial intelligence can make healthcare human again. New York: Basic Books; 2019.

U.S. Food & Drug Administration. Digital Health Software Precertification (Pre-Cert) Program. 2020.

Wahl B, Cossy-Gantner A, Germann S, Schwalbe N. Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings? BMJ Glob Health. 2018;3:e000798.

Veer S, Singh K, Patel A. Implementation of real-time AI feedback systems in telepsychiatry: opportunities and challenges. Digit Health. 2022;8:20552076221075650.

Comments (0)

No login
gif