The now and future of ChatGPT and GPT in psychiatry

Author:

Cheng Szu‐Wei12ORCID,Chang Chung‐Wen3,Chang Wan‐Jung45ORCID,Wang Hao‐Wei6,Liang Chih‐Sung7ORCID,Kishimoto Taishiro8ORCID,Chang Jane Pei‐Chen12ORCID,Kuo John S.910ORCID,Su Kuan‐Pin12911ORCID

Affiliation:

1. College of Medicine China Medical University Taichung Taiwan

2. Mind‐Body Interface Laboratory (MBI‐Lab) and Department of Psychiatry China Medical University Hospital Taichung Taiwan

3. Department of Information Management Chia‐Nan University of Pharmacy & Science Tainan Taiwan

4. Department of Electronic Engineering Southern Taiwan University of Science and Technology Tainan Taiwan

5. Internet of Things Laboratory (IOT Lab) Medical and Intelligent Technology Research Center (MIT Center), Southern Taiwan University of Science and Technology Tainan Taiwan

6. Department of Family Studies and Child Development Shih Chien University Taipei Taiwan

7. Department of Psychiatry Beitou Branch, Tri‐Service General Hospital, National Defense Medical Center Taipei Taiwan

8. Hills Joint Research Laboratory for Future Preventive Medicine and Wellness Keio University School of Medicine Tokyo Japan

9. Neuroscience and Brain Disease Center China Medical University Taichung Taiwan

10. Graduate Institute of Biomedical Sciences China Medical University Taichung Taiwan

11. An‐Nan Hospital, China Medical University Tainan Taiwan

Abstract

ChatGPT has sparked extensive discussions within the healthcare community since its November 2022 release. However, potential applications in the field of psychiatry have received limited attention. Deep learning has proven beneficial to psychiatry, and GPT is a powerful deep learning‐based language model with immense potential for this field. Despite the convenience of ChatGPT, this advanced chatbot currently has limited practical applications in psychiatry. It may be used to support psychiatrists in routine tasks such as completing medical records, facilitating communications between clinicians and with patients, polishing academic writings and presentations, and programming and performing analyses for research. The current training and application of ChatGPT require using appropriate prompts to maximize appropriate outputs and minimize deleterious inaccuracies and phantom errors. Moreover, future GPT advances that incorporate empathy, emotion recognition, personality assessment, and detection of mental health warning signs are essential for its effective integration into psychiatric care. In the near future, developing a fully‐automated psychotherapy system trained for expert communication (such as psychotherapy verbatim) is conceivable by building on foundational GPT technology. This dream system should integrate practical ‘real world’ inputs and friendly AI user and patient interfaces via clinically validated algorithms, voice comprehension/generation modules, and emotion discrimination algorithms based on facial expressions and physiological inputs from wearable devices. In addition to the technology challenges, we believe it is critical to establish generally accepted ethical standards for applying ChatGPT‐related tools in all mental healthcare environments, including telemedicine and academic/training settings.

Funder

China Medical University Hospital

China Medical University, Taiwan

National Science and Technology Council

Publisher

Wiley

Subject

Psychiatry and Mental health,Neurology (clinical),Neurology,General Medicine,General Neuroscience

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