可能因为您的浏览器不支持样式,您可以更新您的浏览器到最新版本,以获取对此功能的支持,访问下面的网站,获取关于浏览器的信息:
 傅小兰,张侃,陈雪峰,陈祉妍.(2023).中国国民心理健康发展报告(2021~2022).社会科学文献出版社.
国家卫生健康委员会.(2024).2023中国卫生健康统计年鉴.北京:中国协和医科大学出版社.
蒋长好,蒋现新,黄辰,钟晓珂.(2024).人工智能应用于老年人睡眠障碍的诊断与干预:基于ICF的Scoping综述.中国康复理论与实践,30(8),922-929.
李科生,念靖晴,李琦,杨超,邓巍.(2019).“互联网+”心理平台:大数据时代心理健康循证实践的新途径.中国临床心理学杂志,27(1),210-214,205.
李瑶,杨琳.(2022).人工智能应用于心理健康服务的相关问题思考.医学与哲学,43(5),49-54.
刘珂,刘盾,孙扬,沈蓉萍.(2025).面向在线医疗平台的医生推荐方法.智能系统学报,20(1),206-218.
刘兴云,刘晓倩,向媛媛,朱廷劭.(2019).人工智能大数据之于心理学.科技导报,37(21),105-109.
王俊秀,张衍,李延泽,等.(2025).中国睡眠研究报告(2025).社会科学文献出版社.
吴腾.(2025).生成式人工智能技术赋能智慧医疗建设的风险与规制.医学与社会,38(3),9-16.
杨芳,李欣怡,何田玉,杨冰香,黄智生,王晓琴,等.(2022).微博高自杀风险用户的自杀方式意向及自杀意念原因.中国心理卫生杂志,36(10),851-855.
杨思源,郭丽敏,贾媛,吴茜,孟繁洁.(2020).社交机器人干预对老年人心理健康影响的Meta分析.中国老年学杂志,40(18),3919-3923.
袁璠,喻思红,杨冰香,黄智生,阮娟.(2020).人工智能技术在抑郁及自杀管理中的应用.中国全科医学,23(26),3253-3257.
章彦博,黄峰,莫柳铃,刘晓倩,朱廷劭.(2025).基于大语言模型的自杀意念文本数据增强与识别技术.心理学报,57(6),987-1000.
Allam,H.,Davison,C.,Kalota,F.,Lazaros,E.,& Hua,D.V.(2025).AI-Driven mental health surveillance:Identifying suicidal ideation through machine learning techniques.Big Data and Cognitive Computing,9(1),16.
Banerjee,A.,Maji,D.,Datta,R.,Barman,S.,Samanta,D.,& Chattopadhyay,S.(2022).Shubhchintak:An efficient remote health monitoring approach for elderly people.Multimedia Tools and Applications,81(26),37137-37163.
Browning,M.,Kingslake,J.,Dourish,C.T.,Goodwin,G.M.,Harmer,C.J.,& Dawson,G.R.(2019).Predicting treatment response to antidepressant medication using early changes in emotional processing.European Neuropsychopharmacology,29(1),66-75.
Chadaga,K.,Prabhu,S.,Sampathila,N.,et al.(2024).SADXAI:Predicting social anxiety disorder using multiple interpretable artificial intelligence techniques.SLAS Technology,29(2),100129.
Chen,D.,Wang,X.,Voon,V.,et al.(2023).Neurophysiological stratification of major depressive disorder by distinct trajectories.Nature Mental Health,1(11),863-875.
Chen,Q.,Zhang-James,Y.,Barnett,E.J.,et al.(2020).Predicting suicide attempt or suicide death following a visit to psychiatric specialty care:A machine learning study using Swedish national registry data.PLoS Medicine,17(11),e1003416.
Cho,E.,Kim,S.,Heo,S.J.,et al.(2023).Machine learning-based predictive models for the occurrence of behavioral and psychological symptoms of dementia:Model development and validation.Scientific Reports,13(1),8073.
Fitzpatrick,K.K.,Darcy,A.,& Vierhile,M.(2017).Deliveringcognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent(Woebot):A randomized controlled trial.JMIR Mental Health,4(2),e19.
Haenlein,M.,& Kaplan,A.(2019).Abrief history of artificial intelligence:On the past,present,and future of artificial intelligence. California Management Review,61(4),5-14.
Hammelrath,L.,Hilbert,K.,Heinrich,M.,Zagorscak,P.,& Knaevelsrud,C.(2023).Select or adjust?How information from early treatment stages boosts the prediction of non-response in internet-based depression treatment.Psychological Medicine,54,1641-1650.
Han,J.(2024).Development of an AI-based suicide ideation prediction model for people with disabilities.Life,14(11),1372.
Heinz,M.V.,Mackin,D.M.,Trudeau,B.M.,et al.(2025).Randomized trial of a generative AI chatbot for mental health treatment.NEJM AI,2(4),1-14.
Huang,Y.,Wang,Y.,Wang,H.,et al.(2019).Prevalence of mental disorders in China:A cross-sectional epidemiological study.Lancet Psychiatry,6(3),211-224.
Institute of Health Metrics and Evaluation.(2021).Global Health Data Exchange(GHDx).Http://ghdx.healthdata.org
Jacobson,N.C.,Summers,B.,& Wilhelm,S.(2020).Digitalbiomarkers of social anxiety severity:Digital phenotyping using passive smartphone sensors.Journal of Medical Internet Research,22(5),e16875.
Jiang,J.,Kahai,S.,& Yang,M.(2022).Who needs explanation and when?Juggling explainable AI and user epistemic uncertainty.International Journal of Human-Computer Studies,165,102839.
Kelloway,E.K.,Dimoff,J.K.,& Gilbert,S.(2023).Mentalhealth in the workplace.Annual Review of Organizational Psychology and Organizational Behavior,10,363-387.
Kishimoto,T.,Hao,X.,Chang,T.,& Luo,Z.(2025).Single online self-compassion writing intervention reduces anxiety:With the feedback of ChatGPT.Internet Interventions,39,100810.
Klos,M.C.,Escoredo,M.,Joerin,A.,Lemos,V.N.,Rauws,M.,& Bunge,E.L.(2021).Artificial intelligence-based chatbot for anxiety and depression in university students:Pilot randomized controlled trial.JMIR Formative Research,5(8),e20678.
Lau,Y.,Ang,W.H.D.,Ang,W.W.,Pang,P.C.I.,Wong,S.H.,& Chan,K.S.(2025).Artificialintelligence-based psychotherapeutic intervention on psychological outcomes:A meta-analysis and meta-regression.Depression and Anxiety,(1),8930012.
Lee,Y.,Kim,I.,Lee,S.,& Yu,S.(2024).Information andcommunication technology-based application for cognitive behavioral therapy among community-dwelling older adults with insomnia:Development and validation study.Healthcare,12(1),106.
Levkovich,I.,& Elyoseph,Z.(2023).Suiciderisk assessments through the eyes of ChatGPT-3.5 versus ChatGPT-4:Vignette study.JMIR Ment Health,10,e51232.
Li,M.,Wang,Y.,Yang,C.,Lu,Z.,& Chen,J.(2024).Automaticdiagnosis of depression based on facial expression information and deep convolutional neural network.IEEE Transactions on Computational Social Systems,11(5),5728-5739.
Linardon,J.,Torous,J.,Firth,J.,Cuijpers,P.,Messer,M.,& Fuller-Tyszkiewicz,M.(2024).Current evidence on the efficacy of mental health smartphone apps for symptoms of depression and anxiety.A meta-analysis of 176 randomized controlled trials.World Psychiatry,23(1),139-149.
Maeda,E.,Miyata,A.,Boivin,J.,et al.(2020).Promoting fertility awareness and preconception health using a chatbot:A randomized controlled trial.Reproductive Biomedicine Online,41(6),1133-1143.
Maples,B.,Cerit,M.,Vishwanath,A.,& Pea,R.(2024).Loneliness and suicide mitigation for students using GPT3-enabled chatbots.Mental Health Research,3(1),4.
Matsushima,T.,Yoshinaga,K.,Wakasugi,N.,Togo,H.,& Hanakawa,T.(2024).Functional connectivity-based classification of rapid eye movement sleep behavior disorder.Sleep Medicine,115,5-13.
Molnár,V.,Kunos,L.,Tamás,L.,& Lakner,Z.(2023).Evaluation of theapplicability of artificial intelligence for the prediction of obstructive sleep apnoea.Applied Science,13(7),4231.
Mouchabac,S.,Leray,P.,Adrien,V.,Gollier-Briant,F.,& Bonnot,O.(2021).Prevention ofsuicidal relapses in adolescents with a smartphone application:Bayesian network analysis of a preclinical trial using in silico patient simulations.Journal of Medical Internet Research,23(9),e24560.
Naiseh,M.,Al-Thani,D.,Jiang,N.,& Ali,R.(2023).How the different explanation classes impact trust calibration:The case of clinical decision support systems.International Journal of Human-Computer Studies,169,102941.
Qiao,D.,Wu,S.,Xiang,L.,& Zhang,N.(2024).Association of residential environment with depression and anxiety symptoms among older adults in China:A cross-sectional population-based study.Building and Environment,257,111535.
Sabour,S.,Zhang,W.,Xiao,X.,et al.(2023).A chatbot for mental health support:Exploring the impact of Emohaa on reducing mental distress in China.Frontiers in Digital Health,5,1133987.
Sadeh-Sharvit,S.,Camp,T.D.,Horton,S.E.,et al.(2023).Effects of an artificial intelligence platform for behavioral interventions on depression and anxiety symptoms:Randomized clinical trial.Journal of Medical Internet Research,25,e46781.
Tejaswini,V.,Babu,K.S.,& Sahoo,B.(2024).Depressiondetection from social media text analysis using natural language processing techniques and hybrid deep learning model.ACM Transactions on Asian and Low-Resource Language Information Processing,23(1),1-20.
Thakkar,A.,Gupta,A.,& De Sousa,A.(2024).Artificial intelligence in positive mental health:A narrative review.Frontiers in Digital Health,6,1280235.
Tutun,S.,Johnson,M.E.,Ahmed,A.,et al.(2023).An AI-based decision support system for predicting mental health disorders.Information Systems Frontiers,25(3),1261-1276.
Ustün,T.B.,Ayuso-Mateos,J.L.,Chatterji,S.,Mathers,C.,& Murray,C.J.(2004).Global burden of depressive disorders in the year 2000.The British Journal of Psychiatry:The Journal of Mental Science,184,386-392.
World Economic Forum.(2022).The Global Risks Report 2022.
Xu,Z.,Gahr,M.,Xiang,Y.,Kingdon,D.,Rüsch,N.,& Wang,G.(2022).The state of mental health care in China.Asian Journal of Psychiatry,69,102975.
Yousufi,M.,Damaevicˇius,R.,& Maskeliūnas,R.(2024).Multimodalfusion of EEG and audio spectrogram for major depressive disorder recognition using modified DenseNet121.Brain Sciences,14(10),1018.