人工智能会话代理在抑郁症诊疗中应用的范围综述
作者:
作者单位:

(中国医学科学院北京协和医学院护理学院 北京 100144)

作者简介:

罗强强,硕士研究生;通信作者:李菁,副教授。

基金项目:

北京协和医学院校级本科教育教学改革项目(项目编号:2022zlgc0126)。


A Scoping Review on the Application of Artificial Intelligence Conversational Agents in the Diagnosis and Treatment of Depression
Author:
Affiliation:

(School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100144, China)

  • 摘要
  • 访问统计
  • 参考文献 [1]
  • 相似文献
  • 文章评论
    摘要:

    目的/意义 探讨人工智能会话代理在抑郁症诊疗中的应用现状与发展特点,并对未来人工智能会话代理的设计和应用提供实用性建议。方法/过程 采用范围综述方法,总结人工智能会话代理应用于抑郁症筛查与治疗的基本特征、功能特点等。结果/结论 会话代理在抑郁症诊疗方面应用前景广阔,但目前仍处于开发阶段,存在筛查和治疗功能验证不严谨、差异探究不深入,以及评价机制不统一、不全面等问题。未来的人工智能会话代理应具备强大情绪监测能力、准确治疗方案决策能力,并能与患者建立良好治疗关系。

    Abstract:

    Purpose/Significance To discuss the application status and development characteristics of artificial intelligence (AI) conversational agents in the diagnosis and treatment of depression, and to provide practical suggestions for the design and application of AI conversational agents in the future. Method/Process Using the scope review method, the basic and functional characteristics of AI conversational agents in the screening and treatment of depression are summarized. Result/Conclusion The application of conversational agents in the diagnosis and treatment of depression has broad prospects, but it is still in the development stage, and there are some problems, such as the screening and treatment function verification is not rigorous, the difference exploration is not in-depth, and the evaluation mechanism is not unified and incomplete. The AI conversational agents in the future should be applications with strong emotional monitoring capabilities, accurate treatment decision making capabilities, and the ability to establish a good therapeutic relationship with patients.

    参考文献
    1 中华医学会,中华医学会杂志社,中华医学会全科医学分会,等.抑郁症基层诊疗指南(实践版·2021)[J].中华全科医师杂志,2021,20(12):1261-1268.2 HASIN D S, SARVET A L, MEYERS J L, et al.Epidemiology of adult DSM-5 major depressive disorder and its specifiers in the United States[J].JAMA psychiatry, 2018,75(4):336-346.3 MALHI G S, OUTHRED T, HAMILTON A, et al.Royal Australian and New Zealand college of psychiatrists clinical practice guidelines for mood disorders:major depression summary[J].The medical journal of Australia, 2018,208(4):175-180.4 THAPAR A, EYRE O, PATEL V, et al.Depression in young people[J].Lancet, 2022,400(10352):617-631.5 GUIDI J, FAVA G A.Sequential combination of pharmacotherapy and psychotherapy in major depressive disorder:a systematic review and meta-analysis[J].JAMA psychiatry, 2021,78(3):261-269.6 WAUMANS R C, MUNTINGH A, DRAISMA S, et al.Barriers and facilitators for treatment-seeking in adults with a depressive or anxiety disorder in a western-European health care setting:a qualitative study[J].BMC psychiatry, 2022,22(1):165.7 ALLOUCH M, AZARIA A, AZOULAY R.Conversational agents:goals, technologies, vision and challenges[J].Sensors, 2021,21(24):8448.8 MERCADO J, ESPINOSA-CURIEL I E, MARTINEZ-MIRANDA J.Embodied conversational agents providing motivational interviewing to improve health-related behaviors:scoping review[J].Journal of medical internet research, 2023,12(25):e52097.9 仇如霞,顾艳荭.范围综述报告规范(PRISMA-ScR)的解读[J].中国循证医学杂志,2022,22(6):722-730.10 TOTO E, TLACHAC M L, RUNDENSTEINER E A.AudiBERT:a deep transfer learning multimodal classification framework for depression screening[C].New York:The 30th ACM International Conference on Information and Knowledge Management, 2021.11 FLORES R, TLACHAC M L, TOTO E, et al.Audiface:multimodal deep learning for depression screening[C].Worcester:Machine Learning Research, 2022.12 KAYWAN P, AHMED K, MIAO Y, et al.DEPRA: an early depression detection analysis chatbot[C].Melbourne:International Conference on Health Information Science, 2021.13 EGEDE J O, PRICE D, KRISHNAN D B, et al.Design and evaluation of virtual human mediated tasks for assessment of depression and anxiety[C].New York:The 21st ACM International Conference on Intelligent Virtual Agents, 2021.14 FITZPATRICK K K, DARCY A, VIERHILE M.Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot):a randomized controlled trial[J].JMIR mental health, 2017,4(2):e19.15 FULMER R, JOERIN A, GENTILE B, et al.Using psychological artificial intelligence (Tess) to relieve symptoms of depression and anxiety:randomized controlled trial[J].JMIR mental health, 2018,5(4):e64.16 HE Y, YANG L, ZHU X, et al.Mental health chatbot for young adults with depressive symptoms:a single-blind, three-arm, randomized controlled trial[J].Journal of medical internet research, 2022,24(11):e40719.17 INKSTER B, SARDA S, SUBRAMANIAN V.An empathy-driven, conversational artificial intelligence agent (Wysa) for digital mental well-being:real-world data evaluation mixed-methods study[J].JMIR mhealth and uhealth, 2018,6(11):e12106.18 KLOS M C, ESCOREDO M, JOERIN A, et al.Artificial intelligence-based chatbot for anxiety and depression in university students:pilot randomized controlled trial[J].JMIR formative research, 2021,5(8):e20678.19 LIU H, PENG H, SONG X, et al.Using AI chatbots to provide self-help depression interventions for university students:a randomized trial of effectiveness[J].Internet interventions, 2022,1(27):100495.20 ROMANOVSKYI O, PIDBUTSKA N, KNYSH A.Elomia chatbot:the effectiveness of artificial intelligence in the fight for mental health[EB/OL].[2024-02-11].https://ceur-ws.org/Vol-2870/paper89.pdf.21 SCHROEDER J, WILKES C, ROWAN K, et al.Pocket skills:a conversational mobile web app to support dialectical behavioral therapy[C].Montreal:The 2018 CHI Conference on Human Factors in Computing Systems, 2018.22 MOUDATSOU M, STAVROPOULOU A, PHILALITHIS A, et al.The role of empathy in health and social care professionals[J].Healthcare, 2020,8(1):21-35.23 PACHECO-LORENZO M R, VALLADARES-RODRIGUEZ S M, ANIDO-RIFON L E, et al.Smart conversational agents for the detection of neuropsychiatric disorders:a systematic review[J].Journal of biomedical informatics, 2021,1(13):103632.24 陈晓婷,李实.对话情绪识别综述[J].计算机工程与应用,2023,59(3):33-48.25 KUMAR G, DAS T, SINGH K.Early detection of depression through facial expression recognition and electroencephalogram-based artificial intelligence-assisted graphical user interface[J].Neural computing and applications, 2024,3(6):6937-6954.26 HUANG X, FANG W, YUAN G, et al.Depression recognition using voice-based pre-training model[J].Scientific reports, 2024,14(1):12734.27 WANG Y, WANG J, LIU X, et al.Detecting depression through gait data:examining the contribution of gait features in recognizing depression[J].Frontiers in psychiatry, 2021,7(12):661213.28 FAURHOLT-JEPSEN M, BUSK J, ROHANI D A, et al.Differences in mobility patterns according to machine learning models in patients with bipolar disorder and patients with unipolar disorder[J].Journal of affective disorders, 2022,7(36):246-253.29 LI W, WANG Q, LIU X, et al.Simple action for depression detection:using kinect-recorded human kinematic skeletal data[J].BMC psychiatry, 2021,21(1):205.30 ASENSIO-CUESTA S, BLANES-SELVA V, CONEJERO A, et al.A user-centered chatbot to identify and interconnect individual, social and environmental risk factors related to overweight and obesity[J].Informatics for health and social care, 2022,47(1):38-52.31 CHIAPPELLI J, KVARTA M, BRUCE H, et al.Stressful life events and openness to experience:relevance to depression[J].Journal of affective disorders, 2021,29(5):711-716.32 LIM S M, SHIAU C, CHENG L J, et al.Chatbot-delivered psychotherapy for adults with depressive and anxiety symptoms:a systematic review and meta-regression[J].Behavior therapy, 2022,53(2):334-347.33 PIERITZ S, KHWAJA M, FAISAL A A, et al.Personalised recommendations in mental health apps:the impact of autonomy and data sharing[EB/OL].[2024-02-11].https://dl.acm.org/doi/10.1145/3411764.3445523.34 CHOWDHARY N, JOTHEESWARAN A T, NADKARNI A, et al.The methods and outcomes of cultural adaptations of psychological treatments for depressive disorders:a systematic review[J].Psychological medicine, 2014,44(6):1131-1146.35 LARANJO L, DUNN A G, TONG H L, et al.Conversational agents in healthcare:a systematic review[J].Journal of the American medical informatics association, 2018,25(9):1248-1258.36 AYERS J W, POLIAK A, DREDZE M, et al.Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum[J].JAMA internal medicine, 2023,183(6):589-596.37 GOTZL C, HILLER S, RAUSCHENBERG C, et al.Artificial intelligence-informed mobile mental health apps for young people:a mixed-methods approach on user’ and stakeholders’ perspectives[J].Child and adolescent psychiatry and mental health, 2022,16(1):86.38 TRAN S, SMITH L, EL-DEN S, et al.The use of gamification and incentives in mobile health apps to improve medication adherence:scoping review[J].JMIR mhealth and uhealth, 2022,10(2):e30671.39 CHENG V, DAVENPORT T, JOHNSON D, et al.Gamification in apps and technologies for improving mental health and well-being:systematic review[J].JMIR mental health, 2019,6(6):e13717.40 TOPOL E J.High-performance medicine:the convergence of human and artificial intelligence[J].Nature medicine, 2019,25(1):44-56.
    相似文献
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

罗强强,黄佳慧,李敏,等.人工智能会话代理在抑郁症诊疗中应用的范围综述[J].医学信息学杂志,2024,45(12):9-15, 28

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 最后修改日期:2024-08-05
  • 在线发布日期: 2025-01-10

扫码关注

官方微信