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

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