The promise of machine learning in predicting treatment outcomes in psychiatry

Cited by (532)

Items 501–532 of 532

1. Individualized prediction of medication duration in benign childhood epilepsy with centrotemporal spikes: a morphometric similarity network-based connectome predictive modeling approach
   Chen Yiwen, Xinhe Yao, Gao Ziyi, Li Jiao, Qiang Xu, Zhang Qirui, Wang Zhaojie, Li Yuzhuo, He Yan, Fang Yang et al. · 2026 · Progress in Neuro-Psychopharmacology and Biological Psychiatry
2. Artificial Intelligence Applications in Mental Health: A Systematic Review of Clinical Practice, Educational Transformation, and Ethical Governance
   Rania Maher Alhalawany, Yahya Mubarak Khatatbeh, Aeshah Ali Jawkhab · 2026 · Healthcare
3. Development and External Validation of a Treatment-Adjusted Machine Learning Model to Support Risk-Informed Group-Based Depression Care for People Living with HIV in Uganda
   Shakira Babirye, Rongjie Huang, Chengbo Zeng, Jeremiah Mutinye Kwesiga, Barbara Kemigisha, Kizito Wamala, Rosco Kasujja, Kenneth Okware Kalani, Raquel Andres, Etheldreda Nakimuli‐Mpungu · 2026 · Wellcome Open Research
4. Adverse-effect burden as the dominant correlate of antidepressant non-adherence in major depressive disorder: insights from a multicentre machine-learning analysis
   Sohail Riaz, Fazli Khuda, Aqeel Nasim, Rukhsana Qazi, Reem M. Alnemari, Nawal Alsubaie · 2026 · Psychiatry Research
5. Explainable machine learning to predict depression across phenotype definitions integrating genetic and environmental factors
   Bianca Cabral C C Branco, Sam Bentwood, Esme Elsden, Matthew H. Iveson, Mark J. Adams, Andrew Mark McIntosh, Peggy Seriès, Heather Clare Whalley, Alex S. F. Kwong · 2026 · Research Square
6. Predicting longitudinal depressive symptom trajectories among older Chinese adults with chronic health conditions: An interpretable machine learning study
   Zhan Yu, Anao Zhang, Kaipeng Wang, Qiuling An, Meiyan Chen, Yuting Wang, Zeqiang Wang · 2026 · International Psychogeriatrics
7. Neurodevelopmental reward dysregulation and addiction risk in ADHD
   Raly James Perez Custodio, Eugene C. Yi, Bung-Nyun Kim, Jae Hoon Cheong · 2026 · European Archives of Psychiatry and Clinical Neuroscience
8. Predicting Psychological Flourishing Among Psychologists: Integrating Self-Compassion, Traditional Regression, and Machine Learning Approaches
   Rania Maher Alhalawany, Rahaf Fahad Alnufaie, Yahya Mubark Khatatbeh · 2026 · Healthcare
9. Adverse Experiences in Brief Meditation Practices: Randomized Controlled Trial
   Otto Simonsson, Zishan Jiwani, Mini Ruiz, Jayanth Narayanan, Walter Osika, Matthew James Hirshberg, Simon Benjamin Goldberg · 2026 · JMIR Mental Health
10. Predicting early psychiatric readmission among people with major depressive disorder: A machine learning analysis from the prospective multicentre DEEP READ study
    Francesco Bartoli, Mario Luciano, Cristina Crocamo, Carlo Bassetti, Daniele Cavaleri, Andrea Aguglia, Anna-Rita Atti, Isabella Berardelli, Angela Chiara Cecere, Salvatore Cipolla et al. · 2026 · Journal of Affective Disorders
11. SCRIPT-Psych: Learning to generate psychiatric medication regimens from real-world inpatient records (Preprint)
    Wen Xin, Xiaohong Li, Wei Qu, Weicheng Nie, Yikun Zhao, Hao Wang, Huailiang Yi, Shuping Tan · 2026
12. The Future of Artificial Intelligence and Emerging Technologies in Mental Health: Prospects, Challenges, and a Roadmap for Personalized Treatment
    Nan Qiu, Duoduo Xu, Barbara Sahakian, Christelle Langley, Roland Eils, Laura Marciano, Christian Montag, Jodi Halpern, B.T. Thomas Yeo, Paul S F Yip et al. · 2026 · Psychotherapy and Psychosomatics
13. Psychotherapy remission prediction models show limited cross-clinic generalizability in routine outpatient care
    Peter D. Weller, Kevin Hilbert, Georg W. Alpers, Stephan Bartholdy, Elisa Berger, Eva‐Lotta Brakemeier, Anne‐Kathrin Bräscher, Timo Brockmeyer, Hanna Christiansen, Monika Equit et al. · 2026 · Scientific Reports
14. Psychopathological and Temperamental Stratification of Eating Disorders With Clustering: From Diagnosis to Phenotypic Diversity
    Andrea Zanola, Louis Fabrice Tshimanga, Valentina Meregalli, Angela Favaro, Manfredo Atzori, Enrico Collantoni · 2026 · European Eating Disorders Review
15. Methodological transitions in mental health research driven by machine learning
    Haojie Fu, Xudong Zhao, Fazhan Chen · 2026 · BJPsych Open
16. Using machine learning to predict long-term treatment outcomes in psychotherapy for personality disorders
    Johanna W. van den Eshof, Romy G. Leferink, Henricus L. Van, Rosa A. van Grieken, Arnoud Roger Arntz, Henk R. Cremers · 2026 · Psychotherapy Research
17. Translating microbiome research into personalized schizophrenia care by implementing multi-omics and artificial intelligence
    Avleen Kaur Bhullar, Austin Albert Mardon · 2026 · Current research in psychiatry
18. A machine learning-based ecological momentary intervention for mental health promotion in youth: a micro-randomized trial
    Christian Rauschenberg, Frederike N. Schirmbeck, Janik Fechtelpeter, Eva Wierzba, Selina Hiller, Katharina Kahr, A Sikora Kessler, Lale Louise Fee Hornbacher, Christian Götzl, Anita Schick et al. · 2026 · Translational Psychiatry
19. Biomaterials in Tissue Engineering and Wound Healing
    Mariam Adeoba, Thanyani Pandelani · 2026 · Series in bioengineering
20. Artificial intelligence in psychiatry: transforming diagnosis, risk prediction and personalized mental healthcare – a narrative review
    Rehana Banoo, Shilki Sharma, Nathiya K, Smriti G. Solomon, Pooja Shree Mazumdar, T. Aruna, Mayanglambam Sankerdev Singh, Mohammed Umar, Simon Samuvel S., P. Emmanuel Raju · 2026 · International Journal of Research in Medical Sciences
21. Fusion techniques of time frequency-based images to predict the outcome of rTMS depression therapy
    Wael Korani, Md Fahimul Kabir Chowdhury, Mohammed Aledhari, Reza Rostami, Reza Kazemi · 2026 · Biomedical Signal Processing and Control
22. Psychotherapy remains a human endeavor: Human therapy is valued more than AI-integrated therapy
    Colin Xu, Thomas T. Kim · 2026 · medRxiv
23. Development and Internal Validation of an Interpretable Machine Learning Model for Identifying Past-Year Nonsuicidal Self-Injury Among Adolescents With Depression: Retrospective Study
    Gaoyang Liu, Chenxi Yang, wendan chen, Ningning Ding, Wenwen Tian, Xinwu Ye, Mengdan Luo, Xinnan Mao, Guohua Zhang, Ke Zheng · 2026 · JMIR Pediatrics and Parenting
24. Integrating the Hierarchical Taxonomy of Psychopathology and computational psychiatry
    Timothy A. Allen, Alison Schreiber, Scott D. Blain, Christina O. Carlisi, Colin G. DeYoung, Alex Fornito, Claire M. Gillan, Vina M. Goghari, Nathan T. Hall, Philipp Homan et al. · 2026 · Nature Reviews Psychology
25. Machine learning-enabled mental health prediction in youth: A structured narrative synthesis
    Onolunosen Abel Abhadionmhen, ChukwuNonso H. Nwokoye, Soude Ghari, Oyedeji Ayonrinde, Nomusa F. Mngoma, Alvine Belle · 2026 · Network Modeling Analysis in Health Informatics and Bioinformatics
26. Leveraging Social Capital for Depression–Anxiety Comorbidity Screening in Medical Postgraduates: Development and Cross-School Validation of a Parsimonious Model for Digital Screening (Preprint)
    Wen Zhu, Xin Zheng, Di Tian, Li Yan, Zhongliang Bai, Jun Wu, Panpan Hu, Ren Chen · 2026
27. Direct Effects Multiplicative Inference (DEMI): causal prediction from pairwise clinical relationships, applied to antidepressant response
    Farrokh Alemi, Yili Lin, Hadeel R A Elyazori, Vladimir Franzuela Cardenas, Niloofar Ramezani, Kevin Lybarger · 2026 · Journal of Biomedical Informatics
28. Psychological and Behavioral Modeling: A Structured Review of Methods, Datasets, Applications, and Open Challenges
    Xingxuan Chen, Xinmeng Li, Lujia Yin, Haixiang Zhu, Zixin Xiao, Yong Jun Peng · 2026 · Systems
29. Multimodal Machine Learning–Based Prediction of Relapse in Major Depressive Disorder
    Lea Teutenberg, Nils Ralf Winter, Paula L Usemann, Frederike Stein, Florian Thomas‐Odenthal, Kira Flinkenflügel, Tiana Borgers, Susanne L. Meinert, Elisabeth Johanna Leehr, Dominik Grotegerd et al. · 2026 · JAMA Psychiatry
30. Who benefits from which psychological treatment: Towards personalized psychotherapies?
    Pim Cuijpers · 2026 · Santé mentale au Québec
31. State of the Science: Reducing the disease burden of depression at the population level with psychological interventions
    Pim J. Cuijpers · 2026 · Behavior Therapy
32. Machine learning and network analysis of psychosocial factors associated with non-suicidal self-injury severity among college students
    Hanmei Liu, Yunxiao Guo, Jiawei Hu, Dongdong Xue, Xie Guangjin, Chang Mao, Zhihong Ren · 2026 · Psychiatry Research