Sun Jie, Lu Tangsheng, Shao Xuexiao, Han Ying, Xia Yu, Zheng Yongbo, Wang Yongxiang, Li Xinmin, Ravindran Arun, Fan Lizhou, Fang Yin, Zhang Xiujun, Ravindran Nisha, Wang Yumei, Liu Xiaoxing, Lu Lin
Pain Medicine Center, Peking University Third Hospital, Peking University, Beijing, 100191, China.
Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, 100191, China.
Mol Psychiatry. 2025 Jun 3. doi: 10.1038/s41380-025-03072-3.
The integration of artificial intelligence (AI) in mental healthcare holds promise for enhancing diagnostic precision, treatment efficacy, and personalized care. Despite AI's potential to analyze vast datasets and identify subtle patterns, its clinical adoption in psychiatry remains limited. This review critically examines the emerging role of AI in psychiatry, elucidating its utility, challenges, and implications for clinical practice. Through an extensive analysis of the existing literature and empirical evidence, we seek to inform psychiatric stakeholders about both opportunities and obstacles that are presented by AI. We evaluate AI's potential to improve diagnostic accuracy, prognostic performance, and therapeutic interventions. Our pragmatic approach bridges the gap between theoretical advancements and practical implementation, providing valuable insights and actionable recommendations for psychiatric professionals. This article highlights the supportive role of AI, advocating for its judicious integration to enhance patient outcomes while maintaining the human-centric essence of psychiatric practice. By addressing these challenges and fostering collaboration, AI can significantly advance mental healthcare, reduce clinical burdens, and improve patient outcomes.
人工智能（AI）在精神卫生保健中的整合有望提高诊断准确性、治疗效果和个性化护理水平。尽管人工智能有潜力分析大量数据集并识别细微模式，但其在精神病学临床中的应用仍然有限。本综述批判性地审视了人工智能在精神病学中新兴的作用，阐明了其效用、挑战以及对临床实践的影响。通过对现有文献和实证证据的广泛分析，我们旨在让精神科领域的相关人员了解人工智能带来的机遇和障碍。我们评估人工智能在提高诊断准确性、预后表现和治疗干预方面的潜力。我们务实的方法弥合了理论进步与实际应用之间的差距，为精神科专业人员提供了有价值的见解和可行的建议。本文强调了人工智能的支持作用，倡导明智地整合人工智能以改善患者预后，同时保持精神病学实践以人为本的本质。通过应对这些挑战并促进合作，人工智能可以显著推动精神卫生保健的发展，减轻临床负担，改善患者预后。
