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Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (40) Natural Language Processing (1306) Diagnostic Tools in Mental Health (445) Machine Learning (3242) Artificial Intelligence (4858)

Published on in Vol 10, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38168, first published .
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Developing an Automated Assessment of In-session Patient Activation for Psychological Therapy: Codevelopment Approach

Developing an Automated Assessment of In-session Patient Activation for Psychological Therapy: Codevelopment Approach

Authors of this article:

Sam Malins1 Author Orcid Image ;   Grazziela Figueredo2 Author Orcid Image ;   Tahseen Jilani2 Author Orcid Image ;   Yunfei Long3 Author Orcid Image ;   Jacob Andrews4 Author Orcid Image ;   Mat Rawsthorne5 Author Orcid Image ;   Cosmin Manolescu1 Author Orcid Image ;   Jeremie Clos2 Author Orcid Image ;   Fred Higton6 Author Orcid Image ;   David Waldram6 Author Orcid Image ;   Daniel Hunt7 Author Orcid Image ;   Elvira Perez Vallejos8 Author Orcid Image ;   Nima Moghaddam9 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

Journals

  1. Malgaroli M, Hull T, Zech J, Althoff T. Natural language processing for mental health interventions: a systematic review and research framework. Translational Psychiatry 2023;13(1) View
  2. Trifu R, Nemeș B, Herta D, Bodea-Hategan C, Talaș D, Coman H. Linguistic markers for major depressive disorder: a cross-sectional study using an automated procedure. Frontiers in Psychology 2024;15 View
  3. Bach T, Kaarstad M, Solberg E, Babic A. Insights into suggested Responsible AI (RAI) practices in real-world settings: a systematic literature review. AI and Ethics 2025;5(3):3185 View
  4. Ivanov M, Rueda A, Bhat V, Krishnan S. Multimodal Framework for Therapeutic Consultations. IEEE Transactions on Affective Computing 2025;16(4):2653 View
  5. Joseph J, Pai M, Asai K, Turek M. AI-Human synergy in single-session therapy: augmenting capacity for scalable mental health support. Journal of Psychology and AI 2026;2(1) View
  6. Soma C, Kuo P, Mehta M, Srikumar V, Imel Z, Atkins D. Artificial Intelligence to Support Human-Provided Mental Health Treatment. Annual Review of Clinical Psychology 2026;22(1):505 View
  7. Suffoletto B, Preiksaitis C, Kim D, Rose C, Pitre V, Pillai N, Mandal M. AI counseling agent for motivational interviewing: Conversational processes associated with change talk in emergency department patients. Journal of Substance Use and Addiction Treatment 2026;190:210053 View
  8. Antonacci C, Uy J, Kwan K, Giampetruzzi E, Jones S, Pennebaker J, Gotlib I. Natural language processing of youth speech predicts psychopathology across adolescence. Nature Mental Health 2026;4(8):1227 View
  9. Malins S, Saxon D, Figueredo G, Clos J, Trimble T, Fatehi K, Waldram D, Boycott N, Frost A, Sales C, Horton K, Hardy G, Barkham M, Morriss R, Schröder T, Moghaddam N. Predicting patient outcomes from initial in-session interactions within cognitive behavioral therapy and person-centered experiential therapy for severe depression. Behaviour Research and Therapy 2026;205:105152 View

Books/Policy Documents

  1. Xia Y, Zhao Q, Long Y, Xu G. Chinese Lexical Semantics. View