Artificial Intelligence in Obsessive-Compulsive Disorder: A Systematic Review.

Q1 Psychology

Current Treatment Options in Psychiatry Pub Date : 2025-01-01 Epub Date: 2025-06-14 DOI:10.1007/s40501-025-00359-8

Jiyeong Kim, Juan Pablo Gonzalez Pacheco, Ashleigh Golden, Elias Aboujaoude, Peter van Roessel, Aayushi Gandhi, Pavithra Mukunda, Tatevik Avanesyan, Haopeng Xue, Ehsan Adeli, Jane Paik Kim, Manish Saggar, Shannon Wiltsey Stirman, Eric Kuhn, Kaustubh Supekar, Kilian M Pohl, Carolyn I Rodriguez

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引用次数: 0

Abstract

Purpose of review: Obsessive-compulsive disorder (OCD) is a chronic and disabling condition, often leading to significant functional impairments. Despite its early onset, there is an average delay of 17 years from symptom onset to diagnosis and treatment, resulting in poorer outcomes. This systematic review aims to synthesize current findings on the application of AI in OCD, highlighting opportunities for early symptom detection, scalable therapy training, clinical decision support, novel therapeutics, computer vision-based approaches, and multimodal biomarker discovery.

Recent findings: While previous reviews focused on biomarker-based OCD detection and treatment using machine learning (ML), the findings of the current review add information about novel applications of deep learning technology, specifically generative artificial intelligence (GenAI) and natural language processing (NLP). Among the included 13 articles, most studies (84.6%) utilized secondary data analyses, primarily through GenAI/NLP. Nearly 77% of these studies were published in the past two years, with high quality of evidence. The primary focus areas were enhancing treatment and management, and timely OCD detection (both 38.5%); followed by AI tool development for broader mental health applications.

Summary: AI technologies offer transformative potential for improvements related to OCD if diagnosis occurs earlier after onset; thereby lessening the consequential economic burden. Prioritizing investment in ethically sound AI research could significantly improve OCD outcomes in mental health care.

Supplementary information: The online version contains supplementary material available at 10.1007/s40501-025-00359-8.

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强迫症中的人工智能：系统综述。

回顾目的：强迫症（OCD）是一种慢性致残疾病，通常会导致严重的功能障碍。尽管发病早，但从症状出现到诊断和治疗平均延迟17年，导致预后较差。本系统综述旨在综合人工智能在强迫症中应用的最新发现，强调早期症状检测、可扩展的治疗培训、临床决策支持、新疗法、基于计算机视觉的方法和多模态生物标志物发现的机会。最近的发现：虽然以前的综述主要集中在使用机器学习（ML）进行基于生物标志物的强迫症检测和治疗，但当前综述的发现增加了关于深度学习技术的新应用的信息，特别是生成人工智能（GenAI）和自然语言处理（NLP）。在纳入的13篇文章中，大多数研究（84.6%）主要通过GenAI/NLP进行二次数据分析。这些研究中有近77%是在过去两年中发表的，证据质量很高。重点是加强治疗管理，及时发现强迫症（均为38.5%）；随后是为更广泛的心理健康应用开发人工智能工具。总结：如果在发病后早期进行诊断，人工智能技术为改善强迫症提供了变革性的潜力；从而减轻相应的经济负担。优先投资合乎伦理的人工智能研究，可以显著改善精神卫生保健方面的强迫症结果。补充信息：在线版本包含补充资料，提供地址为10.1007/s40501-025-00359-8。

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 Treatment Options in Psychiatry Psychology-Clinical Psychology

CiteScore

5.70

自引率

0.00%

发文量

期刊介绍： This journal focuses on the latest advances in the multifaceted treatment of psychiatric disorders. Designed for physicians and other mental health professionals, Current Treatment Options in Psychiatry offers expert reviews on the management of a range of mental health conditions, includingSchizophrenia and other psychotic disordersSubstance use disordersAnxiety, obsessive-compulsive, and related disordersMood disordersEating and other impulse control disordersPersonality disordersArticles cover a range of established and emerging treatment options across the lifespan, and their innovative, hands-on format makes them ideal for informing treatment decisions at the point of care.We accomplish this by appointing leaders in the field to serve as Section Editors in key areas. Section Editors, in turn, select the most pressing topics as well as experts to present the latest research, assess the efficacy of available treatment options, and discuss special considerations.Additionally, an international Editorial Board—representing a range of disciplines within psychiatry and psychology—ensures that the journal content includes current, emerging research and suggests articles of special interest to their country or region.