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To Implement or Not to Implement? A Commentary on the Pitfalls of Judging the Value and Risks of Personalized Prognostic Statistical Models

To Implement or Not to Implement? A Commentary on the Pitfalls of Judging the Value and Risks of Personalized Prognostic Statistical Models

Their medical application has attracted increasing attention and focus on the predictive power of the emerging complex statistical models in medicine [1].

Linda Baumbach, Walter Hötzendorfer, Jan Baumbach

J Med Internet Res 2025;27:e69341

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From E-Patients to AI Patients: The Tidal Wave Empowering Patients, Redefining Clinical Relationships, and Transforming Care

From E-Patients to AI Patients: The Tidal Wave Empowering Patients, Redefining Clinical Relationships, and Transforming Care

The promise of AI for health is profound: to discover new treatments, gain efficiencies, and deliver precision medicine—the right intervention to the right person at the right time [1]. Experts are effusive about AI, which can reduce cognitive workload, enhance prevention, and lower costs. Many blunt this enthusiasm with caution, as the field struggles to genuinely address AI ethics, accountability, privacy, and governance [2].

Susan S Woods, Sarah M Greene, Laura Adams, Grace Cordovano, Matthew F Hudson

J Particip Med 2025;17:e75794

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Leveraging Technology to Engage Supplemental Nutrition Assistance Program Consumers With Children at Farmers Markets: Qualitative Community-Engaged Approach to App Development

Leveraging Technology to Engage Supplemental Nutrition Assistance Program Consumers With Children at Farmers Markets: Qualitative Community-Engaged Approach to App Development

Reference 61: Palliative medicine and smartphones: an opportunity for innovation? Reference 63: Key question 1: definition of community-based participatory research(https://www.ncbi.nlm.nih.gov Reference 64: Community-based participatory research and human-centered design principles to advanceParticipatory Design and Participatory Research

Callie Ogland-Hand, Jillian Schulte, Owusua Yamoah, Kathryn Poppe, Timothy H Ciesielski, Regan Gee, Ana Claudia Zubieta, Darcy A Freedman

JMIR Form Res 2025;9:e70104

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Benchmarking the Confidence of Large Language Models in Answering Clinical Questions: Cross-Sectional Evaluation Study

Benchmarking the Confidence of Large Language Models in Answering Clinical Questions: Cross-Sectional Evaluation Study

This study used a public compiled dataset from a previous study by Katz et al [10], which includes 655 questions for the following five medical specialties: internal medicine, obstetrics and gynecology (OBGYN), psychiatry, pediatrics, and general surgery. These questions were sourced from official 2023 licensing examinations for each field and were crafted from internationally recognized textbooks and guidelines. This dataset serves as a standardized framework for assessment [20-24].

Mahmud Omar, Reem Agbareia, Benjamin S Glicksberg, Girish N Nadkarni, Eyal Klang

JMIR Med Inform 2025;13:e66917

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Online Group–Based Dual-Task Training to Improve Cognitive Function of Community-Dwelling Older Adults: Randomized Controlled Feasibility Study

Online Group–Based Dual-Task Training to Improve Cognitive Function of Community-Dwelling Older Adults: Randomized Controlled Feasibility Study

Instrumental activities of daily living were assessed by Lawton’s 8 selected tasks, which include telephone use, shopping, food preparation, housekeeping, laundry, transportation, medicine use, and handling finances [31]. Participants rated their level of dependence in performing each task on a 5-point Likert scale. The score was the sum of all items, ranging from 0 to 8, with a higher score indicating greater independence.

Pui Hing Chau, Denise Shuk Ting Cheung, Jojo Yan Yan Kwok, Wai Chi Chan, Doris Sau Fung Yu

JMIR Aging 2025;8:e67267

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Experience of Using Electronic Inhaler Monitoring Devices for Patients With Chronic Obstructive Pulmonary Disease or Asthma: Systematic Review of Qualitative Studies

Experience of Using Electronic Inhaler Monitoring Devices for Patients With Chronic Obstructive Pulmonary Disease or Asthma: Systematic Review of Qualitative Studies

The methodological quality of included reports was assessed independently by 2 researchers (XC, HKJ) using the Critical Appraisal Skills Programme (CASP) checklist developed by the Centre for Evidence-Based Medicine at the University of Oxford, UK [30]. This tool, focusing on evaluating the validity, utility, and reliability of qualitative research, comprises 10 items evaluated with “yes,” “no,” or “unclear” responses.

Jilong Duan, Xia Chen, Di Fan, Haikun Jiang, Xue Zhang, Wenyue Zhang, Zhiping Liu, Hongyan Lu

JMIR Mhealth Uhealth 2025;13:e57645

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Quality and Misinformation About Health Conditions in Online Peer Support Groups: Scoping Review

Quality and Misinformation About Health Conditions in Online Peer Support Groups: Scoping Review

Reference 3: An evidence-based approach to interactive health communication: a challenge to medicineMedicine 2.0: Social Media, Open, Participatory, Collaborative Medicine

Bethan M Treadgold, Neil S Coulson, John L Campbell, Jeffrey Lambert, Emma Pitchforth

J Med Internet Res 2025;27:e71140

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