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Call for papers - Artificial intelligence for diagnosing and treating psychiatric disorders

Guest Editors

Sean Lauderdale, PhD, University of Houston-Clear Lake, USA
Inbar Levkovich, PhD, Tel-Hai Academic College, Israel

Submission Status: Open   |   Submission Deadline: 21 August 2025

BMC Psychiatry welcomes submissions to our Artificial intelligence (AI) for diagnosing and treating psychiatric disorders Collection. This Collection aims to explore machine learning, personalized treatment strategies, and predictive analytics in mental health. By advancing our understanding of AI's role in psychiatry, this Collection seeks to inform the development of effective, equitable, and innovative solutions for diagnosing and treating psychiatric disorders.


New Content ItemThis Collection supports and amplifies research related to SDG 3: Good Health and Well-being.

Meet the Guest Editors

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Sean Lauderdale, PhD, University of Houston-Clear Lake, USA

Dr Sean Lauderdale is a clinical psychologist specializing in the assessment and treatment of anxiety disorders, neurocognitive disorders, and older adults. He received his PhD in Clinical Psychology from Texas Tech University. As Assistant Professor at the University of Houston-Clear Lake, Dr Lauderdale has dedicated his career to higher education, where he trains the next generation of clinical psychologists. Dr Lauderdale's research lab focuses on several key areas in clinical psychology: anxiety disorders, mental health stigma, indecisiveness, and veterans' mental health. Additionally, his work explores the impact of artificial intelligence on clinical decision-making processes.

Inbar Levkovich, PhD, Tel-Hai Academic College, Israel

Prof Inbar Levkovich is Associate Professor and licensed psychotherapist at Tel-Hai Academic College. She completed her PhD in Health Sciences at the University of Haifa, followed by postdoctoral research at the School of Social Work, Bar-Ilan University, supported by the Israel National Institute for Health Policy. Prof Levkovich previously led the research unit within the Division of Family Medicine at the Ruth & Bruce Rappaport Faculty of Medicine, Technion–Israel Institute of Technology. She has published over 120 peer-reviewed articles and contributed multiple chapters to edited volumes. Her primary research interests encompass health and illness, with a particular focus on the impact of artificial intelligence on mental health.

About the Collection

BMC Psychiatry welcomes submissions to our Collection on Artificial intelligence (AI) for diagnosing and treating psychiatric disorders. As the intersection of technology and mental health continues to evolve, this Collection seeks to explore innovative applications of artificial intelligence in the diagnosis and management of various psychiatric conditions. We invite contributions that delve into the multifaceted roles AI can play in revolutionizing mental healthcare delivery and improving patient outcomes.

Submissions to this Collection may focus on, but are not limited to:

  • Development and validation of AI algorithms for early detection and diagnosis of psychiatric disorders
  • Integration of AI-driven tools into clinical practice to enhance treatment decision-making and personalized care
  • Exploration of AI-powered interventions for symptom monitoring, relapse prevention, and long-term management of psychiatric conditions
  • Regulatory and compliance issues related to AI in psychiatry
  • Comparative studies of AI-based diagnostic tools versus traditional diagnostic methods in psychiatry
  • Integration of AI with telepsychiatry and digital therapeutics
  • Use of AI to predict pathological progression and treatment outcome


With an emphasis on interdisciplinary collaboration, we welcome contributions from researchers, clinicians, data scientists, and other stakeholders working at the intersection of psychiatry and AI. 

All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.

This Collection supports and amplifies research related to SDG 3: Good Health and Well-being.

Image credit: © ipopba / Getty Images / iStock

  1. Despite significant advances in AI-driven medical diagnostics, the integration of large language models (LLMs) into psychiatric practice presents unique challenges. While LLMs demonstrate high accuracy in cont...

    Authors: Dorit Hadar Shoval, Karny Gigi, Yuval Haber, Amir Itzhaki, Kfir Asraf, David Piterman and Zohar Elyoseph
    Citation: BMC Psychiatry 2025 25:478
    Content type: Research Published on:

  2. Accurate detection of schizophrenia poses a grand challenge as a complex and heterogeneous mental disorder. Current diagnostic criteria rely primarily on clinical symptoms, which may not fully capture individu...

    Authors: Jie Huang, Yanli Zhao, Zhanxiao Tian, Wei Qu, Xia Du, Jie Zhang, Meng Zhang, Yunlong Tan, Zhiren Wang and Shuping Tan
    Citation: BMC Psychiatry 2025 25:466
    Content type: Research Published on:

  3. The Chat Generative Pre-trained Transformer (ChatGPT), an artificial intelligence-based web application, has demonstrated substantial potential across various knowledge domains, particularly in medicine. This ...

    Authors: Jiali Liu, Juan Gu, Mengjie Tong, Yake Yue, Yufei Qiu, Lijuan Zeng, Yiqing Yu, Fen Yang and Shuyan Zhao
    Citation: BMC Psychiatry 2025 25:359
    Content type: Research Published on:

  5. The integration of artificial intelligence in mental health care represents a transformative shift in the identification, treatment, and management of mental disorders. This systematic review explores the dive...

    Authors: Raziye Dehbozorgi, Sanaz Zangeneh, Elham Khooshab, Donya Hafezi Nia, Hamid Reza Hanif, Pooya Samian, Mahmoud Yousefi, Fatemeh Haj Hashemi, Morteza Vakili, Neda Jamalimoghadam and Fatemeh Lohrasebi
    Citation: BMC Psychiatry 2025 25:132
    Content type: Systematic Review Published on:

Submission Guidelines

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This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Artificial intelligence for diagnosing and treating psychiatric disorders" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.