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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

Among LLM users, half reported personal learning as their goal, and 39% sought information about physical or mental health [3]. Patients burdened with life-changing or rare conditions commonly search for the resources that they need to solve problems. As consumer costs of care keep rising and health care is relentlessly hard to navigate, patients and caregivers are gaining skills and intelligence using LLMs across a breadth of topics.

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

J Particip Med 2025;17:e75794

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

Yet, 77% of the nonusers said that they were likely to use the program in the next 6 months after learning about the program [20]. Other research has found lack of awareness is a modifiable barrier to the use of nutrition programs [21,22]. These findings highlight how a lack of awareness of nutrition incentive programs at farmers markets can impede use.

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

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

Mahajan et al [35] conducted a review of ensemble learning techniques for disease prediction. They found that stacking—an ensemble method that combines multiple classifiers—showed the most accurate performance in 19 out of 23 cases. The voting approach was identified as the second-best ensemble method. However, ensemble methods are computationally intensive and may introduce latency in real-time clinical applications [36].

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

JMIR Med Inform 2025;13:e66917

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

The learning process might also be beneficial to the participants, as some calculation was involved in comparing food labels using different units. In future trials, usual care control may be adopted. Qualitative feedback highlighted the strength of the training regarding convenience, innovation, and comprehensiveness. In contrast, participants expressed a preference for in-person interactions.

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

JMIR Aging 2025;8:e67267

Stakeholders and Contextual Factors in the Implementation of Assistive Robotic Arms for Persons With Tetraplegia: Deductive Content Analysis of Focus Group Interviews

Stakeholders and Contextual Factors in the Implementation of Assistive Robotic Arms for Persons With Tetraplegia: Deductive Content Analysis of Focus Group Interviews

The vision system uses machine learning algorithms to identify objects, enabling the robot to approach and grasp them in a semiautomated manner, thereby saving time in completing the task. A graphical user interface displayed on a tablet near the user presents live and processed images from the camera.

Vera Fosbrooke, Marco Riguzzi, Anja M Raab

JMIR Rehabil Assist Technol 2025;12:e65759

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

Exchanging health-related information and advice in online peer support groups has been found to empower people living with or caring for others with health conditions in learning new methods for managing their conditions, in feeling that their experiences are validated, in reducing a sense of loneliness, and in improving their navigation of health care services [7-9,12-14].

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

J Med Internet Res 2025;27:e71140

Providing Education and Training to Health Care Professionals to Address COVID-19 Health Disparities: Protocol for Implementation Project Using Reach, Effectiveness, Adoption, Implementation, and Maintenance Framework

Providing Education and Training to Health Care Professionals to Address COVID-19 Health Disparities: Protocol for Implementation Project Using Reach, Effectiveness, Adoption, Implementation, and Maintenance Framework

The project team envisioned QI as both a subject matter area and a methodology to support participants’ learning across all 4 subject matter areas. Year 1 of the project is focused on learning about the critical components of practical QI projects through didactic presentations, case studies, and interactive discussion exercises. During year 2, participants can receive coaching support for a QI project that addresses COVID-19 disparities in their facilities.

Adati Tarfa, Nada Fadul, Erica Stohs, Jeffrey Wetherhold, Mahelet Kebede, Nuha Mirghani, Muhammad Salman Ashraf

JMIR Res Protoc 2025;14:e60901

Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study

Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study

This process requires deep learning to characterize the inner relationships between words in sentences, and when more text-based training data are provided, the model becomes more accurate and advanced [11]. In recent years, research on LLM applications has expanded significantly, ranging from basic sentence prediction to aiding human decision-making. The potential of LLMs is being increasingly realized with the continuing advancement of artificial intelligence (AI).

Chenxu Wang, Fei Wang, Shuhan Li, Qing-wen Ren, Xiaomei Tan, Yaoyu Fu, Di Liu, Guangwu Qian, Yu Cao, Rong Yin, Kang Li

J Med Internet Res 2025;27:e71613

Virtual Reality for the Prevention and Cessation of Nicotine Vaping in Youths: Protocol for a Randomized Controlled Trial

Virtual Reality for the Prevention and Cessation of Nicotine Vaping in Youths: Protocol for a Randomized Controlled Trial

The immersive nature of VR also promotes learning and behavior change by increasing attention [17] and by creating meaningful emotions and experiences [18]. In VR, skills are not only learned auditorily and visually but also through tactile interaction. These multiple modes of skill acquisition increase memory retention. Finally, VR is an engaging medium for teens [16].

Belinda Borrelli, Daniel Weinstein, Romano Endrighi, Nikki Ling, Kathleen Koval, Lisa M Quintiliani, Kaitlyn Konieczny

JMIR Res Protoc 2025;14:e71961