Academic Journal
Integrating generative AI with neurophysiological methods in psychiatric practice.
| Τίτλος: | Integrating generative AI with neurophysiological methods in psychiatric practice. |
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| Συγγραφείς: | Feng Y; Mental Health Center, Central University of Finance and Economics, Beijing 100081, China., Zhou Y; State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China., Xu J; Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian 116029, China., Lu X; State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China., Gu R; State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address: gurl@psych.ac.cn., Qiao Z; Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China. Electronic address: qiaozhihong@bnu.edu.cn. |
| Πηγή: | Asian journal of psychiatry [Asian J Psychiatr] 2025 Jun; Vol. 108, pp. 104499. Date of Electronic Publication: 2025 Apr 14. |
| Τύπος έκδοσης: | Journal Article; Review |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101517820 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1876-2026 (Electronic) Linking ISSN: 18762018 NLM ISO Abbreviation: Asian J Psychiatr Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: [Amsterdam] : Elsevier |
| Ιατρικοί όροι (MeSH): | Psychiatry*/methods , Mental Disorders*/physiopathology , Mental Disorders*/therapy , Mental Disorders*/diagnosis , Neurosciences*/methods , Artificial Intelligence* , Neurophysiology*/methods, Humans |
| Περίληψη: | Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. This paper explores the potential integration of generative AI (e.g., large language models) with neuroscientific and physiological approaches in psychiatric practice. Renowned for its advanced natural language processing capabilities, generative AI has shown promise in psychological counseling, emotional support, and clinical interventions. However, its application alongside neuroscience and physiology in psychiatry remains underexplored. We propose that generative AI can facilitate translations and adaptive explanations, streamline experimental preparation, enhance multi-modal data analysis, and improve clinical applications through real-time communication, content generation, and data synthesis. Furthermore, we examine how generative AI, as a specialized application of deep learning, can identify new biomarkers and construct neurophysiological models of psychiatric symptoms. We also discuss the synergistic relationship between neuroscience and AI development, particularly in improving AI's emotional recognition and learning mechanisms. While acknowledging the potential benefits, we address the challenges and risks associated with generative AI in psychiatry, including data reliability, privacy concerns, and resource constraints. This perspective advocates for a balanced approach to leveraging AI's capabilities while safeguarding mental health. (Copyright © 2025 Elsevier B.V. All rights reserved.) |
| Contributed Indexing: | Keywords: Biomarkers; Generative artificial intelligence; Large language models; Neuroscience; Physiology; Psychiatry |
| Entry Date(s): | Date Created: 20250422 Date Completed: 20250530 Latest Revision: 20250530 |
| Update Code: | 20250531 |
| DOI: | 10.1016/j.ajp.2025.104499 |
| PMID: | 40262408 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1876-2026 |
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| DOI: | 10.1016/j.ajp.2025.104499 |