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JMIR Formative Research|September 17, 2026
Navigating Collective Bargaining Barriers to the Implementation of AI Scribe Technology Among Ambulatory Advanced Practice Providers: Mixed Methods Quality Improvement StudyAaron Wright, Danise Seaters, Christi DeLemos
JMIR Formative Research|September 21, 2026
Supporting the Primary Outcomes of the Mirai Trial for the Adjunctive Digital Therapeutic Rejoyn (CT-152) in the Treatment of Major Depressive Disorder: Meaningful Change Analysis in the Montgomery-Åsberg Depression Rating ScaleStacie Hudgens, Intan Purnajo, Lysbeth Floden, et al.
JMIR Formative Research|October 9, 2026
Feasibility and Methodological Consideration of Using Wearable Devices to Examine the Relationship Between Sleep and Balance: Case Report With 2 College StudentsYuan Li, Hongwu Wang, Raghuveer Chandrashekhar, et al.
JMIR Formative Research|October 9, 2026
Human-in-the-Loop Suicide Risk Detection and Clinical Escalation in a Generative AI Mental Health Chatbot: Prospective Implementation StudySuzette Glasner, Darcy Michero, Matthew Stewart
JMIR Formative Research|October 8, 2026
Using App Store Reviews to Explore User Experiences and Perceptions of Mental Health Mobile Apps: Qualitative StudyRachana Talekar, Israel Arevalo, Blanca Macareno, et al.
JMIR Formative Research|October 8, 2026
Comparative Evaluation of ChatGPT, DeepSeek, and Physician-Generated Acupuncture Treatment Protocols Across Chinese and English Language Settings: Cross-Sectional Evaluation StudyXin Liu, Zining Guo
JMIR Formative Research|October 8, 2026
Technical Feasibility of a Multimodal Electro-Optical and Infrared Imaging Pipeline for Postoperative Wound Assessment After Total Knee Arthroplasty: Formative Evaluation StudyTej S Ranade, Emily Hu, Kadambari Beelwar, et al.
JMIR Formative Research|October 13, 2026
Quality Assessment of Physician Discharge Summaries: Instrument Development and Reliability StudyLeopold Bentheim, Leonard Fehring, Hendrik Friederichs, et al.
JMIR Formative Research|September 15, 2026
A Smartphone-Based Acoustic Machine Learning Pipeline for Detecting Suicidal Ideation: Case-Control Model Development and Validation StudyMin Lyu, Lixin Tan, Jun Xiao, et al.
JMIR Formative Research|September 16, 2026
Using Automated Coding of Nonverbal Behavior During a Suicide Assessment to Inform Risk Detection: Mixed Cross-Sectional and Exploratory Prospective StudyIlana Gratch, Simon M Li, Yutong Zhu, et al.
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