Machine Learning for Mental Health: Applications, Challenges, and the Clinician's Role.

IF 5.5 2区医学 Q1 PSYCHIATRY

Current Psychiatry Reports Pub Date : 2024-11-11 DOI:10.1007/s11920-024-01561-w

Sorabh Singhal, Danielle L Cooke, Ricardo I Villareal, Joel J Stoddard, Chen-Tan Lin, Allison G Dempsey

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引用次数: 0

Abstract

Purpose of review: This review aims to evaluate the current psychiatric applications and limitations of machine learning (ML), defined as techniques used to train algorithms to improve performance at a task based on data. The review emphasizes the clinician's role in ensuring equitable and effective patient care and seeks to inform mental health providers about the importance of clinician involvement in these technologies.

Recent findings: ML in psychiatry has advanced through electronic health record integration, disease phenotyping, and remote monitoring through mobile applications. However, these applications face challenges related to health equity, privacy, translation to practice, and validation. Clinicians play crucial roles in ensuring data quality, mitigating biases, promoting algorithm transparency, guiding clinical implementation, and advocating for ethical and patient-centered use of ML tools. Clinicians are essential in addressing the challenges of ML, ensuring its ethical application, and promoting equitable care, thus improving the effectiveness of ML in practice.

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心理健康机器学习：应用、挑战和临床医生的角色。

综述的目的：本综述旨在评估机器学习（ML）在精神科领域的应用现状和局限性，机器学习被定义为根据数据训练算法以提高任务性能的技术。综述强调了临床医生在确保公平、有效的患者护理中的作用，并试图让心理健康服务提供者了解临床医生参与这些技术的重要性：通过电子健康记录整合、疾病表型分析以及通过移动应用程序进行远程监控，精神病学中的移动医疗技术取得了进步。然而，这些应用面临着健康公平、隐私、实践转化和验证等方面的挑战。临床医生在确保数据质量、减少偏差、提高算法透明度、指导临床实施以及倡导以道德和患者为中心使用 ML 工具方面发挥着至关重要的作用。临床医生在应对人工智能的挑战、确保其应用符合道德规范、促进公平护理，从而提高人工智能在实践中的有效性方面至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Current Psychiatry Reports PSYCHIATRY-

CiteScore

11.30

自引率

3.00%

发文量

审稿时长

6-12 weeks

期刊介绍： This journal aims to review the most important, recently published research in psychiatry. By providing clear, insightful, balanced contributions by international experts, the journal intends to serve all those involved in the care of those affected by psychiatric disorders. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas, such as anxiety, medicopsychiatric disorders, and schizophrenia and other related psychotic disorders. Section Editors, in turn, select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. An international Editorial Board reviews the annual table of contents, suggests articles of special interest to their country/region, and ensures that topics are current and include emerging research. Commentaries from well-known figures in the field are also provided.