The promise of machine learning in predicting treatment outcomes in psychiatry

Chekroud, Adam M., Bondar, Julia, Delgadillo, Jaime, Doherty, Gavin, Wasil, Akash, Fokkema, Marjolein, Cohen, Zachary, Belgrave, Danielle +4 more·2021·World Psychiatry

Cited by (532)

Items 201–300 of 532

  1. Therapy as an NLP Task: Comparing LLMs and Human Peers Behaviors in CBT Sessions
    Iftikhar, Zainab, Ransom, Sean, Xiao, Amy, Nugent, Nicole, Huang, Jeff · 2024 · arXiv
  2. First impressions count: Therapists’ impression on patients’ motivation and helping alliance predicts psychotherapy dropout
    Kristin Jankowsky, Johannes Zimmermann, Ulrich Jaeger, Robert Mestel, Ulrich Schroeders · 2024 · Psychotherapy Research
  3. Predicting anorexia nervosa treatment efficacy: an explainable machine learning approach
    Giulia Brizzi, Chiara Pupillo, Elena Sajno, Margherita Boltri, Federico Brusa, Federica Scarpina, Leonardo Mendolicchio, Giuseppe Riva · 2025 · Journal of Eating Disorders
  4. Neurophysiological mechanisms and predictive modeling of SSRI treatment response in depression disorder based on multidimensional EEG features
    Gang Li, Boyi Huang, Yuling Wang, Bin Zhou, Fo Hu, Linbing Wang · 2025 · Journal of Affective Disorders
  5. The Ethics of Leveraging Routinely Collected Patient Data for AI Development: Mixed Methods Study
    Menno Tom Maris, Joanna Ewa Klopotowska, Ronald Cornet A, Mariëtte van den Hoven, Joris E. Lieverse, Daniel Fernández-Llaneza, Marieke Bak · 2025 · Journal of Medical Internet Research
  6. Smart Devices and Multimodal Systems for Mental Health Monitoring: From Theory to Application
    Andreea Violeta Caragata, Mihaela E. Hnatiuc, Oana Geman, Simona Viorica Halunga, Adrian Alexandru Tulbure, Catalin Jan Iov · 2026 · Bioengineering
  7. Therapy as an NLP Task: Comparing LLMs and Human Peers Behaviors in CBT Sessions
    Zainab Iftikhar, Sean Ransom, Amy Wei Xiao, Nicole R. Nugent, Jeff J. S. Huang · 2026 · Proceedings of the ACM on Human-Computer Interaction
  8. Five points to consider when reading a translational machine-learning paper
    Dominic Dwyer, Rajeev Krishnadas · 2022 · The British Journal of Psychiatry
  9. Predicting post-treatment symptom severity for adults receiving psychological therapy in routine care for generalised anxiety disorder: a machine learning approach
    Henry Delamain, Joshua E. J. Buckman, Ciarán O’Driscoll, Jae Won Suh, Joshua C. H. Stott, Satwant Singh, S.A. Naqvi, Judy Leibowitz, Stephen Pilling, Rob Saunders · 2024 · Psychiatry Research
  10. Predicting anxiety treatment outcome in community mental health services using linked health administrative data
    Kevin E. K. Chai, Kyran Graham-Schmidt, Crystal Lee, Daniel Joseph Rock, Mathew Coleman, Kim Steven Betts, Suzanne Robinson, Peter M. McEvoy · 2024 · Scientific Reports
  11. Predicting maintenance lithium response for bipolar disorder from electronic health records—a retrospective study
    Joseph Hayes, Fehmi Ben Abdesslem, Sandra Eloranta, David Osborn, Magnus Boman · 2024 · PeerJ
  12. Genetic-epigenetic-neuropeptide associations in mood and anxiety disorders: Toward personalized medicine
    Maryam Gilani, Niloofar Abak, Mostafa Saberian · 2024 · Pharmacology Biochemistry and Behavior
  13. Smartphone based non invasive real time white blood cell counter leveraging blue light and static magnetic field
    Nafi Us Sabbir Sabith, Masud Rabbani, Kazi Shafiul Alam, Sheikh Iqbal Ahamed · 2025 · Scientific Reports
  14. Dynamic Updating of Psychosis Prediction Models in Individuals at Ultra-High Risk of Psychosis
    Simon Hartmann, Dominic Dwyer, Isabelle Scott, Cassandra Wannan, Josh Nguyen, Ashleigh Peng Lin, Christel Maria Middeldorp, Stephen James Wood, Alison Ruth Yung, Patrick D. McGorry et al. · 2025 · Biological Psychiatry Cognitive Neuroscience and Neuroimaging
  15. Vocal Markers of Schizophrenia: Assessing the Generalizability of Machine Learning Models and Their Clinical Applicability
    Alberto Parola, Emil Trenckner Jessen, Astrid Sletten Rybner, Marie Damsgaard Mortensen, Stine Nyhus Larsen, Arndis Simonsen, Jessica Mary Lin, Yuan Zhou, Huiling Wang, Katja Koelkebeck et al. · 2025 · Schizophrenia Bulletin
  16. Prediction of Chinese clients’ satisfaction with psychotherapy by machine learning
    Lijun Yao, Ziyi Wang, Hong Gu, Xudong Zhao, Yang Chen, Liang Liu · 2023 · Frontiers in Psychiatry
  17. Can Epigenetics Predict Drug Efficiency in Mental Disorders?
    Gil Ben David, Yam Amir, Randa Salalha, Lital E. Sharvit, Gal Richter‐Levin, Gil Atzmon · 2023 · Cells
  18. Next-generation cognitive assessment: Combining functional brain imaging, system perturbations and novel equipment interfaces
    Peter A. Hall, Amer M. Burhan, James M. MacKillop, Dante G.G. Duarte · 2023 · Brain Research Bulletin
  19. Precision Digital Health
    Aaron M. Baird, Yusen Xia · 2024 · Business & Information Systems Engineering
  20. An Efficient Deep Learning Model Using Harris-Hawk Optimizer for Prognostication of Mental Health Disorders
    Vandana, Shilpa Srivastava, Nidhi R. Arora, Varuna Gupta · 2024 · International Research Journal of Multidisciplinary Technovation
  21. Psychosis Prognosis Predictor: A continuous and uncertainty‐aware prediction of treatment outcome in first‐episode psychosis
    Daniël P. J. van Opstal, Seyed Mostafa Kia, Lea Jakob, Metten Somers, Iris E. Sommer, Inge Winter-van Rossum, René S. Kahn, Wiepke Cahn, Hugo Gerard Schnack · 2024 · Acta Psychiatrica Scandinavica
  22. Integrating Emotional AI into Mobile Apps with Smart Home Systems for Personalized Mental Wellness
    Yong Saan Cern · 2025 · Journal of Technology in Behavioral Science
  23. Artificial Intelligence and Bipolar Disorder: Applications of Machine Learning Models for Diagnosis, Treatment, and Outcome Prediction
    Francesco Bartoli, Daniele Cavaleri, Cristina Crocamo · 2025 · ALPHA PSYCHIATRY
  24. Uncertainty modeling in multimodal speech analysis across the psychosis spectrum
    Morteza Rohanian, Roya Melanie Hüppi, F. Nooralahzadeh, Noemi Dannecker, Yves Pauli, Werner Surbeck, Iris E. Sommer, Wolfram Hinzen, Nicolas Langer, M. Krauthammer et al. · 2026 · npj Digital Medicine
  25. Artificial intelligence in ADHD diagnosis: a comprehensive review of machine learning applications, clinical validation challenges, and implementation barriers in precision medicine
    Bita Fallahpour, Ghasem Dastjerdi, Elahe Akbarian, Alireza Emarati, Zahra Sadr, Seyed Alireza Dastgheib, Amirhossein Shahbazi, Reza Bahrami, Mohammad Golshan-Tafti, Amirmasoud Shiri et al. · 2026 · Egyptian Pediatric Association Gazette
  26. Predicting Outcomes of Antidepressant Treatment in Community Practice Settings
    Gregory E. Simon, Maricela Cruz, Jennifer M. Boggs, Arne L Beck, Susan M. Shortreed, Rebecca Yates Coley · 2023 · Psychiatric Services
  27. Using machine learning methods to identify trajectories of change and predict responders and non-responders to short-term dynamic therapy
    Refael Yonatan‐Leus, Gershom Gwertzman, Orya Tishby · 2024 · Psychotherapy Research
  28. Optimizing the Prediction of Depression Remission: A Longitudinal Machine Learning Approach
    Ewan Carr, Marcella Rietschel, Ole N Mors, Neven Henigsberg, Katherine Jean Aitchison, Wolfgang Maier, Rudolf Uher, ANNE E. FARMER, Peter McGuffin, Raquel Iniesta · 2024 · American Journal of Medical Genetics Part B Neuropsychiatric Genetics
  29. AI–Augmented Psychosocial Interventions: A Bibliometric Review and Implications for Nursing
    Erman Yıldız · 2025 · Journal of Psychosocial Nursing and Mental Health Services
  30. Predicting complications after laparoscopic surgery for ureteropelvic junction obstruction using machine learning models: a retrospective cohort study
    Xintao Zhang, Dong Sun, Yu Zhou, Qiongqian Xu, Xue Ren, Jichang Han, Chunhong Ma, MA Guo-hua, Zhihao Sun, Jia Yu et al. · 2025 · World Journal of Urology
  31. Comparing three neural networks to predict depression treatment outcomes in psychological therapies
    Brian Schwartz, Julia Giesemann, Jaime Delgadillo, Jana Schaffrath, Miriam Ina Hehlmann, Danilo Moggia N., Christopher Baumann, Wolfgang Lutz · 2025 · Behaviour Research and Therapy
  32. Towards clinical subtypes in schizophrenia: integrating cognitive, functional, and digital phenotyping assessments
    Andrew Jin Soo Byun, Erlend Lane, Carsten Langholm, Matthew Flathers, Mei‐Hua Hall, John Blake Torous · 2025 · Molecular Psychiatry
  33. The role of AI in transforming psychiatric-mental health care: Enhancing the role of psychiatric-mental health nurse practitioners
    Gryan Garcia · 2025 · Nursing Outlook
  34. Machine-Learning Applications in Eating-Disorder-Outcome Prediction: A Systematic Scoping Review
    Zoe McClure, Matthew Fuller‐Tyszkiewicz, Mariel Messer, Jake Linardon · 2025 · Clinical Psychological Science
  35. Data-Informed Advances and Technology Augmentation
    Wolfgang Lutz · 2022 · Cognitive and Behavioral Practice
  36. Examining the Most Important Risk Factors for Predicting Youth Persistent and Distressing Psychotic-Like Experiences
    Nicole R. Karcher, Aristeidis Sotiras, Tara A. Niendam, Elaine F. Walker, Joshua James Jackson, Deanna M. Barch · 2024 · Biological Psychiatry Cognitive Neuroscience and Neuroimaging
  37. Development of a harmonized sociodemographic and clinical questionnaire for mental health research: A Delphi-method-based consensus recommendation
    Mojtaba Lotfaliany, Bruno Agustini, Adam J. Walker, Alyna Turner, Anna L. Wrobel, Lana J. Williams, Olivia May Dean, Stephanie Miles, Susan Lee Rossell, Michael Berk et al. · 2024 · Australian & New Zealand Journal of Psychiatry
  38. Towards full recovery with lurasidone: effective doses in the treatment of agitation, affective, positive and cognitive symptoms in schizophrenia, and dual psychosis
    María Teresa Guarro Carreras, Luis Jiménez Suárez, Laura Lago García, L. Montes Reula, Adrián Neyra, Francisco Acoidan Rodríguez Batista, Miguel Velasco Santos, Juan Luis Prados-Ojeda, Marina Díaz‐Marsá, Manuel Martı́n-Carrasco et al. · 2024 · Drugs in Context
  39. Cross-EHR validation of antidepressant response algorithm and links with genetics of psychiatric traits
    J. Sealock, J. Tubbs, Allison M. Lake, P. Straub, J. Smoller, Lea K. Davis · 2024 · medRxiv
  40. Child and adolescent psychiatry: challenges, solutions, opportunities, and future directions
    Cortese, Samuele, Arango, Celso, Aymerich, Claudia, Catalan, Ana, Chetouani, Mohamed, Cohen, David, Coghill, David, Gabellone, Alessandra, Iniesta, Raquel, Kadan, Anoop et al. · 2026 · World Psychiatry
  41. Prospects of machine learning applications in affective disorders
    Ekaterina Mosolova, A. Е. Alfimov, Elena G. Kostyukova, Sergey N Mosolov · 2025 · Digital Diagnostics
  42. Neuroanatomical and Functional Correlates in Depressive Spectrum: A Narrative Review
    Perrotta Giulio, Anna Sara Liberati, Stefano Eleuteri · 2025 · Journal of Personalized Medicine
  43. Explainable and comparative machine learning models for punching shear prediction in reinforced concrete flat slabs
    Qaim Shah, Irfan Ullah, Waheed Ali Khoso, Fawad Iqbal, Mussa Umali · 2026 · Multiscale and Multidisciplinary Modeling Experiments and Design
  44. Hyperparameters and Tuning Methods for Random Forest Using Python Sklearn Package Relevant to Psychology Studies
    Kadir Uludağ · 2024 · Advances in medical technologies and clinical practice book series
  45. Enhancing Emotional Well-Being With IoT Data Solutions for Depression: A Systematic Review
    Sanaz Zamani, Roopak Sinha, Minh Nguyen, Samaneh Madanian · 2025 · IEEE Journal of Biomedical and Health Informatics
  46. A Machine Learning Approach to the Prediction of Malaria in Under-five Children: Analysis of the 2021 Nigerian Malaria Indicator Survey
    Sbongiseni Makhosonke Mthethwa, Sileshi Fanta Melesse · 2025 · The Open Public Health Journal
  47. Prediction of treatment outcome in patients receiving internet-delivered cognitive behavioural therapy for depressive and anxiety symptoms: a machine learning analysis of data from a healthcare-embedded longitudinal study
    Noa Roemmel, Sanaa Bahmane, Heather D. Hadjistavropoulos, Marcie Nugent, Roselind Lieb, Gunther Meinlschmidt · 2025 · BMJ Open
  48. Research progress of dosiomics in precision radiotherapy
    Yifan Lei, Han Bai, Jinhui Yu, Zhe Zhang, Li Wang, Bo Li, Lan Li, Lan Li · 2025 · Journal of Cancer Research and Therapeutics
  49. Multimodal machine learning models for predicting remission in major depressive disorder using clinical data, blood biomarkers, and DNA methylation
    Soonho Ha, Hee‐Ju Kang, T. H. Lee, Kyungmin Kang, Jae-Min Kim, HwaMin Lee� · 2026 · Journal of Affective Disorders
  50. Creating sparser prediction models of treatment outcome in depression: a proof-of-concept study using simultaneous feature selection and hyperparameter tuning
    Nicolas Rost, Tanja Maria Brückl, Nikolaos Koutsouleris, Elisabeth B. Binder, Bertram Müller-Myhsok · 2022 · BMC Medical Informatics and Decision Making
  51. Therapists and psychotherapy side effects in China: A machine learning-based study
    Lijun Yao, Zhiwei Xu, Xudong Zhao, Yang Chen, Liang Liu, Xiaoming Fu, Fazhan Chen · 2022 · Heliyon
  52. A deep learning quantification of patient specificity as a predictor of session attendance and treatment response to internet-enabled cognitive behavioural therapy for common mental health disorders
    Caitlin Hitchcock, Julia Funk, Ronan Cummins, Shivam D. Patel, Ana Catarino, Keisuke Takano, Tim Dalgleish, Michael Ewbank · 2024 · Journal of Affective Disorders
  53. Exploring the Impact of an Interactive Electronic Pegboard on Manual Dexterity and Cognitive Skills of Patients With Stroke: Preliminary Analysis
    Shih-Ying Chien, Ching‐Yi Wu, Alice May-Kuen Wong, Chih‐Kuang Chen, Sara L. Beckman · 2024 · JMIR Formative Research
  54. A machine learning case study to predict rare clinical event of interest: imbalanced data, interpretability, and practical considerations
    Sheng Zhong, Jane Zhang, Jenny Jiao, Hongjian Zhu, Yunzhao Xing, Li Wang · 2024 · Journal of Biopharmaceutical Statistics
  55. Machine learning algorithms able to predict the prognosis of gastric cancer patients treated with immune checkpoint inhibitors
    Hong-Wei Li, Ziyu Zhu, Yufei Sun, Chao-Yu Yuan, Mohan Wang, Nan Wang, Yingwei Xue · 2024 · World Journal of Gastroenterology
  56. Application of Machine Learning Techniques to the Prediction of Onset and Persistence of Binge Eating: A Prospective Study
    Zoe McClure, Christopher J. Greenwood, Matthew Fuller‐Tyszkiewicz, Mariel Messer, Jake Linardon · 2024 · European Eating Disorders Review
  57. Predicting clinical improvement in youth using a national-scale multicomponent digital mental health intervention
    Shane P. M. Cross, Ping Liu, Isabelle Scott, Shaunagh O’Sullivan, Jennifer Nicholas, Lee Valentine, Shaminka N. Mangelsdorf, Simon T. E. Baker, John Gleeson, Mario Álvarez‐Jiménez · 2025 · Behaviour Research and Therapy
  58. Prediction of remission of pharmacologically treated psychotic depression: A machine learning approach
    Emily Carter, Samprit Banerjee, George S. Alexopoulos, Kathleen S. Bingham, Patricia Marino, Barnett S. Meyers, Benoit H. Mulsant, Nicholas H. Neufeld, Anthony J. Rothschild, Aristotle N. Voineskos et al. · 2025 · Journal of Affective Disorders
  59. Machine Learning Techniques for Personalized Rehabilitation
    Muhammad Usman Tariq · 2025 · IGI Global eBooks
  60. Precision medicine in mood disorders
    Alessandro Serretti · 2022 · Psychiatry and Clinical Neurosciences Reports
  61. Language as a fingerprint: Self-supervised learning of user encodings using transformers
    Roberta Rocca, Tal Yarkoni · 2022 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  62. Human AI: Ethics and broader impact for mental healthcare
    Suyesha Singh, Ruchi Joshi, Paridhi Jain, K. Abilash · 2023 · Elsevier eBooks
  63. Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders
    Fabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, Ole André Solbakken, Amir H. Payberah, Vladimir Vlassov · 2023 · IEEE International Conference on Digital Health (ICDH)
  64. AI; A New Horizon of Promises & Challenges: ‘Exploring the Impact of Artificial Intelligence (AI) in Mental Health Care’.
    S Manikandan · 2023 · International Journal of Research Publication and Reviews
  65. Cognitive outcomes prediction in children using machine learning and big data analytics
    Nihar Ranjan Behera, V S Thiyagarajan, Geetha Manoharan, Ch Veena, Purnendu Bikash Acharjee, Anantha K. Murthy · 2024 · International Conference on Innovative Practices in Technology and Management (ICIPTM)
  66. Predicting first session working alliances using deep learning algorithms: A proof-of-concept study for personalized psychotherapy
    Ying Zhou, Xiaoyu Chen, Ding Liu, Yu-lin Pan, Yanfei Hou, Tingting Gao, Fei Peng, Xiaocong Wang, Xiaoyuan Zhang · 2022 · Psychotherapy Research
  67. Technoethical Considerations for Advancing Health Literacy and Medical Practice: A Posthumanist Framework in the Age of Healthcare 5.0
    Manuel B. Garcia, Precious S. Garcia, Renato Racelis Maaliw III, Pitz Gerald G. Lagrazon, Yunifa Miftachul Arif, Kingsley Ofosu‐Ampong, Ahmed Mohamed Fahmy Yousef, Chockalingam Aravind Vaithilingam · 2025 · SSRN Electronic Journal
  68. A hybrid fuzzy logic–Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support
    Hudon, Alexandre · 2025 · Frontiers in Artificial Intelligence
  69. Neurocognition as a major predictor of 8-week response to antipsychotics for drug-naïve first-episode schizophrenia using machine learning
    Xianghe Wang, Tianqi Gao, Xiaodong Guo, Bingjie Huang, Yanping Ji, Wanheng Hu, Xiaolin Yin, Yue Zheng, Chengcheng Pu, Xin Yu · 2025 · Schizophrenia
  70. Optimizing treatment for depression in primary care using psychotherapy versus antidepressant medication in a low-resource setting: protocol for the OptimizeD randomized controlled trial
    J. R. Pozuelo, A. Lahiri, R. S. Singh, A. Kushwah, Mimansa Khanduri, A. Shukla, A. Khan, S. G, Varun Shende, Y. Parashar et al. · 2025 · BMC Psychiatry
  71. Use of Artificial Intelligence in Psychiatric Research and Practice: A Qualitative Interview Study with Experts from Psychiatry, Computer Science and Philosophy in Germany
    Eike Buhr, Marc Fischer, Olga Biernetzky, Stefan Johannes Teipel, Oliver Gruber, Mark Schweda · 2025 · European Psychiatry
  72. Heterogeneity of Electroconvulsive Therapy Practice Under a Common Guideline
    Anders Jørgensen, Anton Kokholm Andersen, Jimmi Nielsen, Poul Videbech, Martin Balslev Jørgensen · 2025 · Journal of Ect
  73. Machine Learning Model for Response to Internet-Delivered CBT vs Antidepressant Medication
    Chi Tak Lee, Derek Richards, Jakob Heinzle, Anna Kathleen Hanlon, Kevin Lynch, Siobhán Harty, Nathalie Claus, Veronica O’Keane, Klaas Enno Stephan, Robert Whelan et al. · 2025 · JAMA Network Open
  74. Integrating Neuroimaging and Machine Learning to Predict Mental Disorder Outcomes: A Systematic Review
    Evgenia Gkintoni, Gergios Telonis, Constantinos Halkiopoulos, Basilis Boutsinas · 2025 · Advances in experimental medicine and biology
  75. Personalized mental health interventions through ML-based depression and QoL assessment
    K. Saranya, G. Bhuvaneswari · 2026 · International Journal of Information Technology
  76. Oncology drug resistance prediction tools: Database infrastructure, algorithmic innovation, and clinical translation
    Jia Wang, Hongrui Zhu, Jing Xu, Jie Fu, Li-Yun Liu, Xuan-Yu Chen, Zhe-Sheng Chen, Hai-Yan Zhou, Liu Zhe, Hou‐Wen Lin et al. · 2026 · Current Molecular Pharmacology
  77. Broadening the Use of Machine Learning in Psychiatry
    Brendan D. Adkinson, Adam Mourad Chekroud · 2022 · Biological Psychiatry
  78. Diminished prefrontal hemodynamic response in adult attention deficit hyperactivity disorder: a multi-channel functional near-infrared spectroscopy study
    Y. Zhang, M. Ran, X. Zhang, M. Wang, M. Wang, G. Jiang · 2023 · The European Journal of Psychiatry
  79. A framework for precision “dosing” of mental healthcare services: algorithm development and clinical pilot
    Jonathan Knights, Victoria Bangieva, Michela Passoni, Macayla L. Donegan, Jacob Shen, Audrey A. Klein, Justin Taylor Baker, Holly C. Dubois · 2023 · International Journal of Mental Health Systems
  80. A Blueprint for Next Generation of Clinical Trials in Precision Psychiatry
    Kay T. Pham, Jony Sheynin, Israel Liberzon · 2023 · Elsevier eBooks
  81. Substance Use Treatment Completion Among Unhoused Young Adults: A Predictive Modeling Approach
    Nathaniel A. Dell, Charvonne Long, Christopher P. Salas‐Wright, Michael G. Vaughn, Hannah Selene Szlyk, Patricia A. Cavazos‐Rehg · 2024 · Journal of Drug Issues
  82. Predicting treatment success and failure using routine outcome data: The role of therapist effects in dynamic predictive modelling
    Daryl Mahon, Takuya Minami, Jeb Brown · 2024 · Counselling and Psychotherapy Research
  83. Predicting mental health treatment outcomes using latent growth mixture models and machine learning in a real-world clinical setting
    Lee Lancashire, Steven Lloyd Lancaster, David J. Linkh, Anthony M. Hassan, Magali Haas, Allyson T. Gage · 2024 · Journal of Psychiatric Research
  84. Emerging Trends and Insights: A Comprehensive Bibliometric Analysis of Artificial Intelligence Applications in Healthcare and Psychology
    Khadijah Oluwatosin Abdulsalam, Musa Nanahawau Torera, Ajinatswen Agbu Dawuda, Shamsudeen Musa, Okundalaye Oluwaseun Olumide · 2025 · Journal of Advances in Mathematics and Computer Science
  85. Using machine learning methods to predict the outcome of psychological therapies for post-traumatic stress disorder: A systematic review
    James Tait, Stephen Kellett, Jaime Delgadillo · 2025 · Journal of Anxiety Disorders
  86. Study protocol for a triple-blind randomised controlled trial evaluating a machine learning-based predictive clinical decision support tool for internet-delivered cognitive behaviour therapy (ICBT) for depression and anxiety
    Pontus Bjurner, Nils Hentati Isacsson, Fehmi Ben Abdesslem, Magnus Boman, Erik Forsell, Viktor Kaldo · 2025 · Internet Interventions
  87. Work, Stress, and Health
    Tushar Singh, Meenakshi Verma, Shakti Chaturvedi · 2025 · Springer eBooks
  88. Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study
    Eric Pulick, John J. Curtin, Yonatan Mintz · 2025 · JMIR Formative Research
  89. Development and Validation of a Machine Learning‐Based Risk Prediction Model for Delirium in Older Inpatients: A Prospective Cohort Study
    Xu‐Hua Zhou, Di‐Fei Duan, Meng Zhang, Shuang Liu, Jing Lv, Yi Wang, Lin Chen, Yingjun Zhang, Bo Gu, Qian Chen · 2025 · Journal of Advanced Nursing
  90. The Role of Pharmacogenomics in Precision Psychiatry
    Mirko Manchia, Martino Belvederi Murri · 2023 · Pharmacogenomics
  91. Comparing the Performance of Machine Learning Algorithms in the Automatic Classification of Psychotherapeutic Interactions in Avatar Therapy
    Alexandre Hudon, Kingsada Phraxayavong, Stéphane Potvin, Alexandre Dumais · 2023 · Machine Learning and Knowledge Extraction
  92. Review: Preventing Psychopathology in the Digital Age: Leveraging Technology to Target Coping and Emotion Regulation in Adolescents
    Lauren M. Henry, Bruce E. Compas · 2023 · JAACAP Open
  93. Predictive Pioneers
    Rita Komalasari · 2024 · Advances in psychology, mental health, and behavioral studies (APMHBS) book series
  94. Patient Self-reports for Explainable Machine Learning Predictions of Risks to Psychotherapy Outcomes
    Hans Jacob Westbye, Andrew A. McAleavey, Christian Moltu · 2024 · Communications in computer and information science
  95. Exploring the Nexus of Mental Health Research and Data Synthesis: Role of Medical Data Quality in Machine Learning for Addiction Studies
    Wafia Abada, Abdelkrim Bouramoul · 2024 · International Conference on Advanced Technologies for Signal and Image Processing
  96. Predicting Successful Treatment Completion Using Baseline Case Characteristics through Machine Learning and Ensemble Modeling: A Two-Step Approach
    Xiaolan Liao, Hairong Song, David Bard · 2024 · Chinese Political Science Review
  97. Comparison between clinician and machine learning prediction in a randomized controlled trial for nonsuicidal self-injury
    Moa Pontén, Oskar Flygare, Martin Bellander, Moa Karemyr, Jannike Nilbrink, Clara Hellner, Olivia Ojala, Johan Bjureberg · 2024 · BMC Psychiatry
  98. Dysfunction and recovery of the cortical connectome gradient and its association with gene expression profiles in methamphetamine and heroin use disorders
    Zhe Du, Wenhan Yang, Xinwen Wen, Suping Cai, Jun Liu, Kai Yuan · 2025 · Progress in Neuro-Psychopharmacology and Biological Psychiatry
  99. Predicting Treatment Response Using Machine Learning: A Registered Report
    Kristin Jankowsky, Lina Krakau, Ulrich Schroeders, Rüdiger Zwerenz, Manfred Elmar Beutel · 2022
  100. Smartwatch-Assisted Exercise Prescription: Utilizing Machine Learning Algorithms for Personalized Workout Recommendations and Monitoring: A review
    Hassan Jubair, Mithela Mehenaz · 2024 · Research Square