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JMIR Formative Research|June 18, 2026
Videos on Bilibili, TikTok, and Xiaohongshu as Sources of Medical Information on Adenoid Hypertrophy: Cross-Sectional Content AnalysisChunrong Huang, Yongfeng Zou, Liyi Zhong, et al.
JMIR Formative Research|June 24, 2026
Fine-Tuning Large Language Models for Motivational Interviewing in Health Behavior Change: Development and Evaluation StudyRunze Hu, Yang Yang, Yihang Yang, et al.
JMIR Formative Research|June 24, 2026
Segmenting Older Adults by Their Acceptance of Digital Health Care Devices: Cross-Sectional Study Using the Augmented Technology Acceptance Model and K-Means ClusteringTaeyeon Koo, Ill Hyung Jo, Do Young Pyun, et al.
JMIR Formative Research|June 22, 2026
Experiences and Acceptance of Community-Based Mobile Health Services Among People in Underserved Rural Areas of Korea: Mixed Methods StudyDong-Soo Shin, Jin Soon Kim, Kunhee Park, et al.
JMIR Formative Research|June 25, 2026
An Evaluation of the Usability and Feasibility of the 50K4Life Mobile App for Delivering Walking Challenges to Public School Administrative Employees: Beta Testing StudyJennifer J Salinas, Valery Giselle Lopez, Jennifer L Gay, et al.
JMIR Formative Research|June 25, 2026
Patient Perceptions and Acceptance of Blockchain-Based Health Data Sharing in Oncology: Cross-Sectional SurveyMatheus Villa Moraes, Marcos Almeida Matos
JMIR Formative Research|June 26, 2026
Real-World Engagement With a Generative AI Conversational Agent for Mental Health Support: Retrospective Descriptive StudyKelsey McAlister, Courtney Jewell, Jennifer Huberty
JMIR Formative Research|June 1, 2026
Feasibility and Preliminary Effectiveness of the ChulaCancer Mobile Chatbot for Supportive Care of Patients With Breast or Colorectal Cancer Receiving Chemotherapy: Pilot Randomized Controlled TrialNarawitch Sompornpailin, Thiti Susiriwatananont, Virote Sriuranpong, et al.
JMIR Formative Research|June 1, 2026
Adaptation of a Smartphone-Based Mobile Health Program to Support Person-Centered Treatment of Tuberculosis in Kilimanjaro, Tanzania: Preimplementation Qualitative Needs AssessmentKennedy Ngowi, Liza Khutsishvili, Carolin Fabian, et al.
JMIR Formative Research|June 5, 2026
Interpretable Machine Learning Framework for Predicting Major Adverse Cardiovascular Events in Rheumatoid Arthritis Using Electronic Health Records: Multicenter Cohort StudyWei-Chen Chiang, Guan-Ling Lin, Yu-Sheng Chang, et al.
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