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With the growing potential of digital health technology in cardiovascular medicine [26], the lessons from our study have broad applicability but it will be critical to ensure that an RM-first care model, as with any virtual care modality, is implemented equitably [27,28]. Reduced patient travel burden is particularly important for patients who live in rural locations.
JMIR Cardio 2025;9:e66215
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This study is part of an ongoing multicenter Japanese longitudinal research conducted by 6 collaborating institutions—namely, Kyushu University Graduate School of Medicine, Kagawa University School of Medicine, Tohoku University Graduate School of Medicine, Kyoto University School of Medicine, Fukuoka City Children’s Hospital, and RIKEN. Pregnant women were recruited between October 2018 and June 2020 at 5 of the collaborating institutions (excluding RIKEN).
JMIR Pediatr Parent 2025;8:e58337
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Modernizing the Staging of Parkinson Disease Using Digital Health Technology
Personalized medicine should always be a prioritized goal in health care, and it is necessary to optimize this care for an individual’s quality of life [118]. To achieve this type of personalized medicine for individuals with PD, clinicians need further knowledge on specific patient characteristics across all functional areas of neurocognition to develop personalized pharmacological and interventional protocols in an evidenced-based manner [119].
J Med Internet Res 2025;27:e63105
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The Role of AI in Nursing Education and Practice: Umbrella Review
Reference 1: High-performance medicine: the convergence of human and artificial intelligence Reference 2: Machine Learning in Medicine
J Med Internet Res 2025;27:e69881
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Further research is needed, particularly in critical decision-making fields, such as medicine, to ensure the generalizability of these findings to other domains. This work emphasizes expert decision-making by considering medical experience alongside psychological factors to investigate the motivation behind appropriate self-reliance and reliance on AI.
A quantitative web-based study was conducted with 223 professional dermatologists with an average of 15 (SD 11.2; range 0-50) years of experience.
J Med Internet Res 2025;27:e58660
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We selected as topics 2 common problems in ambulatory medicine: chronic cough (a diagnostic task) and diabetes (a management task). For each topic, we created a written description of a prototypical scenario. In this pilot study we did not base scenarios on specific real patients.
J Med Internet Res 2025;27:e68486
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Recommended amount of sleep for a healthy adult: a joint consensus statement of the American academy of sleep medicine Reference 63: Sex differences in sleep, circadian rhythms, and metabolism: Implications for precision medicine
J Med Internet Res 2025;27:e68199
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The Clinical and Health Informatics Institute at the University of Wisconsin–Madison (UW–Madison) searched clinic records from the Department of Family Medicine and General Internal Medicine system (UW Health) to identify patients meeting eligibility criteria and has sent eligible patient data (name, address, birth date, age, UW Health clinic location, primary care doctor) to the UW (University of Wisconsin) Office of Clinical Trials (OCT) via REDCap (Research Electronic Data Capture, Vanderbilt University).
JMIR Res Protoc 2025;14:e64449
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Both current (in practice) and emerging (in training) practitioners in the professions of medicine (ie, doctor of medicine, doctor of osteopathic medicine, physician assistant, nurse practitioner, pharmacy, or nursing) are eligible to participate in the study.
JMIR Res Protoc 2025;14:e60790
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Infoveillance of COVID-19 Infections in Dentistry Using Platform X: Descriptive Study
In the field of medicine, platform X (formerly known as Twitter) has been used as a source of social media data within the context of health care–related information [11]. X allows millions of users to send and receive “tweets” or short messages for free. The networking and microblogging service has nearly 400 million registered users worldwide and processes about 2 billion tweets per day [12].
J Med Internet Res 2025;27:e54650
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