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 401–500 of 532

  1. A Machine Learning-based Approach to Identify Therapists who can Perceive Client-Side Effects in Psychotherapy
    Lijun Yao, Zhiwei Xu, Xudong Zhao, Yang Chen, Liang Liu, Xiaoming Fu, Fazhan Chen · 2021 · Research Square
  2. Development and validation of a machine learning‐based stroke suicidal ideation prediction model : A retrospective study
    Seung Il Song, Hyeon Taek Hong, Chang-Woo Lee, Seung-Bo Lee · 2022 · Research Square
  3. Pharmacogenetics in psychiatry: some key clinical considerations
    Chiara Fabbri · 2022 · Minerva Psychiatry
  4. Genetic identification and phylogenetic relationships of fish species at Panjnad , Abbasia and Abu Dahbi canals (Punjab, Pakistan) based on mitochondrial COI sequences
    Saima Naz, Ahmad Manan Mustafa Chatha, Durali Danabaş, Naila Kouser, Naeem Mahmood Ashraf · 2022 · Current Trends in OMICS
  5. Revolutionizing stress-related disorder regulation through neuroinformatics and data analysis: An editorial
    Arosh S. Perera Molligoda Arachchige, Yash Verma · 2023 · AIMS neuroscience
  6. Fostering Inclusivity and Body Positivity: An AI-Driven Fashion Recommendation System for Mitigating Body Dysmorphic Disorder Effects
    Yishen Wei, Kian Azadi · 2023 · Software Engineering and Applications
  7. AI-Enabled Clinical Decision Support Tools for Mental Healthcare: A Product Review
    Anne‐Kathrin Kleine, Eesha Kokje, Pia Hummelsberger, Eva Lermer, Susanne Gaube · 2023
  8. The use of digital setting in clinical ad learning applications
    Nadia Genzano, Melania Rita Difino, Pierpaolo Limone, Salvatore Iuso · 2024 · Rivista di Psicologia Clinica
  9. Individual differences in fear extinction learning and the endocannabinoid system
    N.A. Leen · 2024
  10. Board 300: Impact of Virtual Reality on Motor-Skill Performance in Children with Autism Spectrum Disorder
    Ngoc Chung Tran, Irene X. Liang, Ting Liu, Damian Valles · 2024 · ASEE Annual Conference & Exposition
  11. Toward Predicting Peripheral Artery Disease Treatment Outcomes Using Non-Clinical Data
    Ali Al-Ramini, Farahnaz Fallahtafti, Mohammad Ali Takallou, Iraklis I. Pipinos, Sara A. Myers, Fadi Alsaleem · 2024 · medRxiv
  12. Novel Machine Learning Approach for Forecasting the Possibility of Recurrence in Community-Acquired Pneumonia
    Dnyaneshwar Prabhakar Bawane, Raja Ramalingam, M. Gopi, Vaibhav Kaushik, Prakhar Goyal, Yuvraj Parmar · 2024 · Salud Ciencia y Tecnología
  13. Biological Characteristics of Treatment Outcomes in Schizophrenia
    Manul Das, Sohini Chakraborty, Nabagata Das, Urvakhsh Meherwan Mehta · 2024 · Springer eBooks
  14. Analyzing Patterns in Anesthesiology Residents' Exam Performance Using Data Mining Techniques
    DACCPM, Maedeh Karimian, Shahabedin Rahmatizadeh, Zeinab Kohzadi, Zahra Kohzadi, Firoozeh Madadi, Ali Dabbagh · 2024 · Anesthesiology and Pain Medicine
  15. Individualized Psychotherapy: A Review
    N. Uzun, Orçun Yorulmaz · 2024 · Psikiyatride Guncel Yaklasimlar
  16. A comprehensive bibliographic study on mental illness
    Yuanzhao Ding, Shan Chen · 2025 · Acta Neuropsychiatrica
  17. The NIMH Research Domain Criteria Project
    Bruce N. Cuthbert · 2025 · Oxford University Press eBooks
  18. Artificial intelligence's applicability in cardiac imaging
    Joel J. P. C. Rodrigues, Abdul Razak Mohamed Sikkander, Suman Lata Tripathi, K. Vimal Kumar, Sangeeta R. Mishra, G. Theivanathan · 2025 · Elsevier eBooks
  19. Evaluation of Mental Health with the Application of Computing and Digital Resources
    Neha Shukla, Aamena Zaidi, Anamika Dixit, Chandra Shekhar Kumar, Kalpana Agnihotri · 2024 · International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI)
  20. Performance Analysis of a Stacking Ensemble Machine Learning Model in Forecasting University-industry Collaboration*
    Uzapi Hange, Ezenwa Chike Nwanesi, Monhéséa Obrey Patrick Bah · 2024 · International Conference on Data Science and Information Technology (DSIT)
  21. Development and validation of a personalised antipsychotic selection tool for first-line treatment in severe mental illness
    Sarah L. Hardoon, David Osborn, Magnus Boman, Fehmi Ben Abdesslem, Alvin Richards‐Belle, Naomi Launders, Kenneth K. C. Man, Ian Chi Kei Wong, Christina Dalman, Gareth Ambler et al. · 2025 · medRxiv
  22. Lessons learned and perspectives on constrained data collection and preparation for a predictive machine learning model applied to transportation industry in a non-digitalised environment
    Isaac KABEYA MWEPU Simon, MUKALA Patrick · 2024 · International Journal of Computer Engineering Research
  23. Machine Learning for Just-In-Time Adaptive Mental Health Interventions Using Smartwatch Data
    Douglas A. Talbert, Katherine Phillips · 2025 · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
  24. Leveraging Actigraphy and Advanced Machine Learning for Precise Screening of Bipolar, Unipolar, and Healthy Individuals
    M. K. Akshay Prashad, B Sri, N. Sabiyath Fatima, Preeti Verma · 2025 · Lecture notes in networks and systems
  25. Machine learning-based prediction of five-year all-cause mortality in patients with mixed gastric cancer
    Cong Wang, Hongwei Li, Hongye Yang, Yingwei Xue · 2025 · Holistic Integrative Oncology
  26. Exploring Diverse Features: A Thorough Survey for Anxiety Disorders
    Rakhi Nagpal, Saravjeet Singh, Aditi Moudgil · 2025 · EAI Endorsed Transactions on Pervasive Health and Technology
  27. Gépi tanulás alkalmazása a magatartástudományban és a pszichológiában: előnyök és hátrányok
    András Matuz · 2025 · Mentálhigiéné és Pszichoszomatika
  28. Differentiation between bipolar disorder and major depressive disorder based on AMPA receptor distribution
    Sakiko Tsugawa, Yuichi Kimura, Junichi Chikazoe, Hiroki Abe, Tetsu Arisawa, Mai Hatano, Waki Nakajima, Hiroyuki Uchida, Tomoyuki Miyazaki, Yuuki Takada et al. · 2025 · Frontiers in Neural Circuits
  29. Stratifying Eating Disorders with Clustering: From Diagnosis to Phenotypic Diversity
    Andrea Zanola, Louis Fabrice Tshimanga, Valentina Meregalli, Angela Favaro, Manfredo Atzori, Enrico Collantoni · 2025 · medRxiv
  30. Machine Learning in Adolescent Mental Health: Advanced Comorbidity Analysis and Text Mining Insights
    Dafni Patsiala, Konstantinos Bolias, Fani Passia, Georgios Feretzakis, Αθανάσιος Αναστασίου, Yiannis Koumpouros · 2025 · Healthcare
  31. Biological Characteristics of Treatment Outcomes in Schizophrenia
    Manul Das, Sohini Chakraborty, Nabagata Das, Urvakhsh Meherwan Mehta · 2025 · Springer eBooks
  32. Clinicians’ Attitudes Toward using Artificial Intelligence in Mental Health Interventions
    Vera Békés, Katie Aafjes‐van Doorn · 2026 · Journal of Technology in Behavioral Science
  33. Predictive Modelling of Depression Treatment Response using Individual Symptoms and Latent Factors
    Sarah K Buehler, Jakob Heinzle, Mahmoud Ali Eladawi, Chi Tak Lee, Anna Kathleen Hanlon, Veronica O’Keane, Siobhán Harty, Kevin Lynch, Klaas Enno Stephan, Claire M. Gillan · 2025 · medRxiv
  34. Machine Learning to Investigate Life-Course Social Determinants of Loneliness among Older Adults in the US, England, Israel, and 27 European Countries during the Pandemic
    Xu Zong, Pekka Martikainen, Yuxuan Wang, Ling Liu, Karri Silventoinen · 2025 · medRxiv
  35. Applying Machine Learning to Predict Complex Clinical Course in Youth With Eating Disorders
    Stephanie Ryall, Abigail H. M. Bradley, Khaled El Emam, Nicole Obeid · 2025 · International Journal of Eating Disorders
  36. Screening Results and Performance of the CBCL Using a two-step Procedure for Mental Disorders in Chinese Children and Adolescents: a five-year Survey
    Zhongliang Jiang, Wenyan Zhang, Zhongyi Liu, Kai Yang, Qinghao Yang, Yi Zheng, Yonghua Cui · 2025 · Psychiatric Quarterly
  37. Psychological Instability Identification Using Machine Learning Techniques
    Yash Chauhan, Shilpi Mohanty, Sunil Kumar, Dharmendra Singh Rajput · 2025 · Lecture notes in networks and systems
  38. Artificial Intelligence for Predicting Treatment Response in Patients with Anxiety Disorders After Cognitive Behavioral Therapy: A Systematic Review and Meta-Analysis (Preprint)
    Jiawen Liu, Junhui Wang, Zhaobin Wu, Mohamad Ibrani Shahrimin Adam Assim · 2025
  39. A Pilot Study of a Precision Treatment Trial Comparing Psychotherapy and Antidepressants for Depression in Indian Primary Care Settings
    Julia R Pozuelo, Anuja Lahiri, Steven D. Hollon, Rahul Singh, Arvind Kushwah, Mimansa Khanduri, Akanksha Shukla, Azaz Khan, Yashika Parashar, Anant Bhan et al. · 2026 · Behavior Therapy
  40. Risk factors and predictive performance for first healthcare encounter indicating homelessness using administrative data among Calgary residents diagnosed with addiction or mental health conditions
    Faezehsadat Shahidi, Matthew Ethan MacDonald, Dallas Peter Seitz, Rebecca Barry, Geoffrey G. Messier · 2025 · PLOS Digital Health
  41. Selbstbestimmter Umgang mit Daten in der Medizin: Implikationen für die Psychosomatik
    Sabine Sayegh-Jodehl, Johanna N. Kues, Matthias Rose, Andreas Stengel · 2025 · PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie
  42. Optimizing Suicide Risk Prediction in Korea: A Comparison of Model Performance Using Resampling Methods and Machine Learning Algorithms
    Eunji Lim, Bong-Jo Kim, Boseok Cha, So-Jin Lee, Jae-Won Choi, Nuree Kang, Soyoung Park, Sung‐Hyo Seo, Dongyun Lee · 2025 · Psychiatry Investigation
  43. Psychiatry at the turn of the century and a vision for future developments
    María A. Oquendo, María Luisa Barrigón, Enrique Baca‐García · 2025 · International Review of Psychiatry
  44. Conclusion insights on integrated mental healthcare
    K. Jayasankara Reddy · 2025 · Elsevier eBooks
  45. Advances in Schizophrenia Subtyping: A Systematic Review of Machine Learning Applications in Neuroimaging
    Konstantinos Anargyros, Konstantinos Lazaros, Dimitrios Kontis, Aristidis G. Vrahatis, Panagiotis Vlamos · 2025 · Advances in experimental medicine and biology
  46. Machine Learning for Comparative Antidepressant Selection in Major Depressive Disorder: A Systematic Review (Preprint)
    Fiona He, Steven Huang, Richard Wang, Aland Chang, Jennifer Lynne Phillips, Christopher L. F. Sun · 2025
  47. Additional file 1 of The Precision in Psychiatry (PIP) study: Testing an internet-based methodology for accelerating research in treatment prediction and personalisation
    Lee, Chi Tak, Jorge E. Palacios, Richards, Derek, Anna Kathleen Hanlon, Kevin Lynch, Siobhán Harty, Nathalie Claus, Lorraine Swords, Veronica O’Keane, Klaas Enno Stephan et al. · 2023 · Figshare
  48. Additional file 1 of 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, Koutsouleris, Nikolaos, Binder, Elisabeth B., Müller-Myhsok, Bertram · 2022 · Figshare
  49. Additional file 4 of 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, Baker, Justin, Holly C. Dubois · 2024 · Figshare
  50. Additional file 1 of 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, Baker, Justin, Holly C. Dubois · 2024 · Figshare
  51. Additional file 2 of The Precision in Psychiatry (PIP) study: Testing an internet-based methodology for accelerating research in treatment prediction and personalisation
    Lee, Chi Tak, Jorge E. Palacios, Richards, Derek, Anna Kathleen Hanlon, Kevin Lynch, Siobhán Harty, Nathalie Claus, Lorraine Swords, Veronica O’Keane, Klaas Enno Stephan et al. · 2023 · Figshare
  52. Additional file 2 of 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, Baker, Justin, Holly C. Dubois · 2024 · Figshare
  53. Additional file 3 of 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, Baker, Justin, Holly C. Dubois · 2024 · Figshare
  54. Machine learning models for predicting dosing of oral anticoagulants: a systematic review
    Michael A. Barras, Leila Shafiee Hanjani, Ian A Scott, Ahmad Abdel‐Hafez, Nazanin Falconer · 2025 · Journal of Pharmacy Practice and Research
  55. Prediction of Depression Relapse Using Machine Learning With Administrative Data: Balancing Complexity and Simplicity
    Paulina von Stackelberg, Rob Goedhart, Leo C.E. Huberts, Joran Lokkerbol, Ş. İlker Birbil · 2025 · Quality and Reliability Engineering International
  56. Factors Influencing Non-Suicidal Self-Injury in Adolescents with Mood Disorders in China: A Machine Learning Based Study
    Bowen Zhang, Zhenzhen Zhu, Boyang Wang, Yang Wang · 2026 · Lecture notes in networks and systems
  57. Machine Learning Based Digital Assessment of Mild Cognitive Impairment Using Hand Movements during the Trail Making Test
    Gustavo E. Juantorena, Gianluca Capelo, Betsabe D. Leon Vallejos, Agustín M. Ibáñez, Agustín Petroni, Waleska Berríos, Maria Cecilia Fernandez, Juan E. Kamienkowski · 2026 · medRxiv
  58. Advancing patient stratification in major depressive disorder: Evaluation of clinical staging and machine learning prediction models based on real-world data
    Blanca Reneses, Marta García-Huéscar, Isabel Argudo, María Machín, Gema Bravo, Mercedes Saz, María Luisa Zamarro, Marina Díaz‐Marsá, David Fraguas · 2026 · Journal of Affective Disorders
  59. Unravelling the Complexity Gap: A Mechanistic Investigation of Machine Learning Classification in Panic Disorder
    Filipe Ricardo Carvalho, AT Martins · 2026 · Research Square
  60. Ingredients for Success: What Clients and Informal Caregivers Value in Depression Treatment A Concept Mapping Study
    Reine M. D. Ramaekers, Dyllis Aimée van Dijk, Marja Y. Veenstra, Koen R.J. Schruers, Suzanne C. van Bronswijk, Nicole K. Leibold · 2026 · Journal of Clinical Psychology
  61. “Ignoring It Is a Problem”: Social Work Student Perspectives on the Opportunities and Threats of Artificial Intelligence for Practice and Education
    Ishita Kapur, Courtney C. Cronley, Caroline N. Sharkey · 2026 · Journal of Social Work Education
  62. Digital biomarkers in the diagnosis of social anxiety disorder: a scoping review
    Fuqiang Qiao, Wan-Qing Dong, Xiao-Na Wang, Qing Sun · 2026 · BMC Psychiatry
  63. Information systems auditing of psychiatric diagnoses using context-enriched QA-based language models
    William (Hongmin) Du, Guanghua Wang, Jiahui (Norah) Xu, Miklos Antal Vasarhelyi · 2026 · Data Science and Management
  64. The Ethics of Digital Psychiatry
    Sooraj Kumar Maurya · 2026
  65. Fighting Addictions, improving Lives through COmprehensive drug rehabilitation with music (FALCO): Protocol for an international randomised controlled trial
    Monika Geretsegger, Heidi Marie Meling, Alexandra Savinova, Jörg Aßmus, Catherine Lourdes Dy, Trond Stalsberg Mydland, Kenneth Dybdahl, Bjarte Johansen, Stefan Koelsch, Anne Malerbakken et al. · 2026 · medRxiv
  66. Predictors of the Effectiveness of Psychedelics in Treating Depression—A Scoping Review
    James Chmiel, Filip Rybakowski · 2026 · International Journal of Molecular Sciences
  67. CINP: A Causality-Informed Framework for Generalizable and Replicable Neuroimaging Prediction of Antipsychotic Response in Schizophrenia
    Yang Xiao, Mingzhu Li, Jinmin Liao, Jun Yan, Zhigang Li, Hua Guo, Chengcheng Pu, Xin Yu, Dai Zhang, Weihua Yue et al. · 2026 · Biological Psychiatry
  68. Advancing Predictive Modeling in Behavioral Health with Gradient Boosted Bootstrap Model
    Graham Zulu · 2026 · Research Square
  69. Development of a baseline battery to optimize depression treatment assignment in primary care: Balancing breadth and brevity
    Julia R Pozuelo, Ronald C. Kessler, Vikram Patel, Anuja Lahiri, Yashika Parashar, Mohammad M. Herzallah, Mimansa Khanduri, Kathryn O’Neill, Alyssa Martinez, Anant Bhan et al. · 2026 · Journal of Affective Disorders
  70. Symbiotic Human-AI Workflows
    R. N. Ravikumar, Shilpa Aarthi · 2026 · Advances in computational intelligence and robotics book series
  71. Development and External Validation of a Treatment-Adjusted Machine Learning Model for Precision Allocation of Group-Based Depression Care Among 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 Martinez, Etheldreda Nakimuli‐Mpungu · 2026 · Wellcome Open Research
  72. AI Revolution in Mental Health
    Pooja Dehankar, Kashvi Chaturvedi, Susanta Das · 2026 · Advances in computational intelligence and robotics book series
  73. Toward Personalized Psychoeducational Interventions for Psychophysical Health: A Systematic Review and Meta-Analysis for Tailored Intervention Selection
    Evgenia Gkintoni, Apostolos Vantarakis · 2026 · Journal of Personalized Medicine
  74. Treating suicidality remotely (TREASURE): study protocol for a remote randomized controlled trial comparing personalized cognitive behavioral therapy for suicide prevention with a guided self-help course in adolescents and adults
    Wilco C. Janssen, Saskia Y. M. Mérelle, Renske Gilissen, Claudi Bockting · 2026 · Trials
  75. A multimodal fNIRS-based machine learning model for symptom assessment and treatment response prediction in schizophrenia
    Cheng Lei, Xiaolu Xu, Haosheng Yang, Jie Du, Longyu Sheng, Xiang Li, Yong Han, Xingang Cheng, Y F Yang, Chuansheng Wang et al. · 2026 · Schizophrenia Research
  76. Redesigning Mental Health Care: Core Principles for Integrating Systems, Technology and Clinical Workflows
    Tiffany Love, Maryann Waugh, Jay H. Shore · 2026 · Current Psychiatry Reports
  77. Computational Psychiatry and Transdiagnostic Models of Mental Disorders
    Michael N. Hallquist, Timothy A. Allen, Aysenur Okan, Sophie G. Paolizzi, Alexandre Y. Dombrovski · 2026 · Oxford University Press eBooks
  78. Identification and validation of an explainable prediction model of college students’ mental health with therapeutic strategy implications: take 100 thousand college students as sample (Preprint)
    Su-Xia Li · 2026
  79. Developing a Clinical Prediction Model for Nonimprovement of Depressive Symptoms at Discharge After Treatment of Eating Disorders
    Emma De Schuyteneer, Nicolas Leenaerts, Elske Vrieze, Adrian Meule, David Kolar, Eva P. Wuttke, Ulrich Voderholzer · 2026 · International Journal of Eating Disorders
  80. An Application-Oriented Survey of Digital Solutions in Mental Healthcare
    Gábor Kertész, Ádám Pintér, Zsolt Bringye, Balázs Gáspár, Kata Egres, Ludger Tebartz van Elst, Johanna Pirker, Knut Möller · 2026 · IEEE International Conference on Computational Cybernetics (ICCC)
  81. Leveraging machine learning algorithms and explainable AI for predicting mental health disorder treatment at the workplace
    Daniela Candanedo, Edmund Fosu Agyemang, Farhana S. Chaudhry, Taylor Franks, Bailey Taylor, Kevin Siliezar, Samuel Kakraba · 2026 · Acta Psychologica
  82. Die Differentielle und Persönlichkeitspsychologie im Jahr 2025
    John F. Rauthmann, Diana J. N. Armbruster, Eva Asselmann, J. Berkessel, W. Bleidorn, S. Buecker, Anne Gärtner, Daniel Leising, Maike Luhmann, L. Phan et al. · 2026 · Psychologische Rundschau
  83. An integrative NLP framework identifies multilevel linguistic phenotypes of schizophrenia across tasks
    Hironobu Nakamura, Yoshinobu Kano, Genichi Sugihara, Ryo Takemura, Yusei Yamaguchi, Masaaki Shimizu, Shunsuke Takagi, Mari Iizuka, Saaya Tashiro, Momoko Kitazawa et al. · 2026 · Psychological Medicine
  84. Identifying predictors of student depression through validated machine learning pipelines
    Jacob Washton, Tracy Owens, Antony Sierra, Milan Toma · 2026 · Frontiers in Medicine
  85. Collaborative mapping of bottlenecks and opportunities for AI-supported triage in Dutch mental healthcare
    David Quijada-Fernandez, Hendrikus J. A. van Os, Maaike S. Kleinsmann, Jiwon Jung · 2026 · Proceedings of the Design Society
  86. A Local Outpatient Practice-Level Prediction Model for Short-Term Psychiatric Emergency Presentation
    John L. Havlik, Ben D. Tyrrell, Jeanette X. Polaschek, Nathan Bell, Eric R. Arzubi · 2026 · medRxiv
  87. Machine learning prediction of postoperative pulmonary infection in patients who underwent thoracoscopic lung cancer resection: a retrospective case–control study
    Jiajia Ma, Zhengmin Zhang, Bei Xue, Jing Feng, Liping Yao, H Z Chen, Xiaoxin Liu · 2026 · BMC Medical Informatics and Decision Making
  88. Diagnostic Differentiation Between Unipolar and Bipolar Depression: A Machine Learning Analysis of Demographic and Clinical Features
    Lishan Ren, Ye Wei, Mingjian Cai, Mingfen Song, Kaiyuan Zhang, Zhenghe Yu, Hongjing Mao, Wenjuan Liu · 2026 · ALPHA PSYCHIATRY
  89. Remote monitoring of patient status in bipolar disorder: scientific and practical rationale for launching an electronic system; a validation clinical study protocol
    Elena G. Kostyukova, Dianа V. Pervaya, Sergey N Mosolov · 2026 · Neurology Bulletin
  90. Machine Learning-Based Software Defect Prediction and Its Application: A Systematic Review
    A.J. Abdulsalam, M. Timothy, C. I. Eke · 2026 · AGE Journal of Science
  91. From Neurophysiological Reactivity to Emotional Regulation: An Explainable AI Perspective on Neurofeedback and Emotional Adaptation
    Mohamed K. Watfa, Cynthia Aoun, Carla Hamieh, Celena Azzi · 2026 · SSRN Electronic Journal
  92. Prediction of Peripheral Artery Disease Treatment Decisions and Outcomes Using Machine Learning and Gait-Derived Digital Biomarkers
    Ali Al-Ramini, Farahnaz Fallahtafti, Mohammad Ali Takallou, Iraklis I. Pipinos, Sara A. Myers, Fadi Alsaleem · 2026 · Applied Sciences
  93. Advancing mental health research with artificial intelligence
    Yining Hua, John Blake Torous · 2026 · Elsevier eBooks
  94. Predicting Treatment Resistance in Severe Psychiatric Disorder: A Cross-Diagnostic Analysis of Biopsychosocial Risk Factors in a Pakistani Clinical Cohort
    Ayyat Nadeem, Maha Ikram · 2026 · Pakistan BioMedical Journal
  95. Machine Learning Prediction of First Suicide Attempts in Early Adolescence Among Child Ideators
    Josh Nguyen, Dominic Dwyer, Scott D. Tagliaferri, Simon Hartmann, Scott Richard Clark, Isabelle Scott, Johanna T. W. Wigman, Ashleigh Peng Lin, Andrew David Thompson, Caroline X. Gao et al. · 2026 · Journal of the American Academy of Child & Adolescent Psychiatry
  96. Artificial intelligence in digital mental health technology: Considerations for regulation
    Sarah Pais, Holly Coole, Janagan Alagarajah, Aislinn Bergin · 2026 · Digital Health
  97. Prediction Models for Treatment Response in Stress-Related Disorders (Preprint)
    Ludwig Franke Föyen, Victoria Sennerstam, Evelina Kontio, Oskar Flygare, Magnus Boman, Elin Lindsäter · 2026
  98. Predicting training outcomes for developmental dyslexia from EEG data
    Giuseppe Di Dona, Denisa Adina Zamfira, Francesco De Benedetto, Chiara Turri, Camilla Venturini, Lisa Venniro, Daniela Perani, Luca Ronconi · 2026 · Research in Developmental Disabilities
  99. Identification and validation of an explainable model of methamphetamine use disorders with anxiety symptoms: a multicenter cross-sectional study
    Sai Shi, Hang Su, Yiwen Sun, Na Zhong, Haifeng Jiang, Jiang Du, Tianzhen Chen, Min Zhao · 2026 · Psychiatry Research
  100. Precision medicine for mood disorders in the big data era
    Ananya A. Joshi, Clio Franklin, Michael J. C. Bray, Roy J. Adams, Kevin Li, Jacob Taylor, Fernando S. Goes, Peter Zandi, James B. Potash · 2026 · International Review of Psychiatry