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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76902, first published .
Robot interacting with a futuristic AI interface displaying a neural network.

Effect of AI-Based Natural Language Feedback on Engagement and Clinical Outcomes in Fully Self-Guided Internet-Based Cognitive Behavioral Therapy for Depression: 3-Arm Randomized Controlled Trial

Effect of AI-Based Natural Language Feedback on Engagement and Clinical Outcomes in Fully Self-Guided Internet-Based Cognitive Behavioral Therapy for Depression: 3-Arm Randomized Controlled Trial

Journals

  1. Chen D, Xue Q, Wang G, Mu S, Zeng Z, Xu B, Li S, Chen Y, Gu W, Shi J. Clinical Evaluation of an AI-Assisted Decision Support System for General Anesthesia Management Based on Data From 6 Centers: Comparative Study. Journal of Medical Internet Research 2026;28:e90023 View
  2. Kashimura M, So M, Sekizawa Y. Assessing depression among the Japanese population: psychometric properties of the Japanese version of Quick Inventory of Depressive Symptomatology-self-reported version. BMC Psychology 2026;14(1) View
  3. Schefft C, Stuke H, Demir S, Preiß M, Pezawas L, Kaminski J, Meyer B, Moritz S, Berger T, Schröder J, Klein J, Köhler S. Prediction of Treatment Benefit With Internet-Based Cognitive Behavioral Therapy for Depression. JAMA Network Open 2026;9(8):e2631282 View
  4. Brenner G, Gutwald T, Ourman J, Wood R. Navigating AI: Toward Best Practices in Mental Healthcare and Psychotherapy (Preprint). JMIR AI 2026 View