This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1916) Depression and Mood Disorders; Suicide Prevention (1691) Artificial Intelligence (2132) Machine Learning (2077) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (87) mHealth for Wellness, Behavior Change and Prevention (3315) New Methods (1134)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53562, first published .
Automated Behavioral Coding to Enhance the Effectiveness of Motivational Interviewing in a Chat-Based Suicide Prevention Helpline: Secondary Analysis of a Clinical Trial

Automated Behavioral Coding to Enhance the Effectiveness of Motivational Interviewing in a Chat-Based Suicide Prevention Helpline: Secondary Analysis of a Clinical Trial

Automated Behavioral Coding to Enhance the Effectiveness of Motivational Interviewing in a Chat-Based Suicide Prevention Helpline: Secondary Analysis of a Clinical Trial

Authors of this article:

Mathijs Pellemans1, 2 Author Orcid Image ;   Salim Salmi2, 3 Author Orcid Image ;   Saskia Mérelle2, 4 Author Orcid Image ;   Wilco Janssen2, 4 Author Orcid Image ;   Rob van der Mei1, 3 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Journals

  1. Karve Z, Calpey J, Machado C, Knecht M, Mejia M. New Doc on the Block: A Scoping Review of Artificial Intelligence Systems Delivering Motivational Interviewing for Health Behavior Change (Preprint). Journal of Medical Internet Research 2025 View
  2. Bucher A, Egger S, Vashkite I, Wu W, Schwabe G. “It’s Not Only Attention We Need”: Systematic Review of Large Language Models in Mental Health Care. JMIR Mental Health 2025;12:e78410 View
  3. Pas E, Ünlü A, Skrzypek C, Ma J, Bradshaw C. Leveraging Machine Learning to Assess Coaches’ Use of Motivational Interviewing Consistent Language: Implications for Training and Practice. Journal of Educational and Psychological Consultation 2025:1 View
  4. Matthews E, Lerman D, Beach N, Wiczyk D, Goldkind L. “It’s like having that supervisor in the room”: Examining AI as a reflective partner. Psychotherapy Research 2025:1 View
  5. Herschbach L, Festl-Wietek T, Stegemann-Philipps C, Sonanini A, Herrmann B, Erschens R, Herrmann-Werner A, Holderried F. Evaluation of an AI-Based Chatbot Providing Real-Time Feedback in Communication Training for Mental Health Care Professionals: Proof-of-Concept Observational Study. Journal of Medical Internet Research 2025;27:e82818 View
  6. Hung W, Árva D, Mózes N, Major D, Pártos K, Terebessy A, Horváth F, Fehér Á, Fekete M, Dósa N, Varga P, Lehoczki A, Alliquander A, Csík B, Péterfi A, Suskó E, Tóth J, Csípő T, Lipécz Á, Moizs M, Purebl G, Vokó Z, Nagy D, Merkely B, Ádány R, Tabák Á, Fazekas-Pongor V, Ungvari Z. Workplace health promotion for healthy aging: a randomized controlled trial within the Semmelweis–EUniWell Workplace Health Promotion Model Program comparing email-based and face-to-face motivational interviewing to increase step count. GeroScience 2025 View