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The Impact of Digital Technology on the Physical Health of Older Workers: Scoping Review
weight management initiative [39]; (2) digital support systems for managing neck pain [32]; (3) guided internet-based interventions, email communication, and electronic couch support (via telephone and internal messaging) for pain management [48]; (4) the Age Well Digital Coach, a smartphone app with an avatar-based interface, motivational messaging, and activity tracking, designed to promote physical activity, mental well-being, and social engagement during the transition to retirement [47]; (5) an ergonomic learning
JMIR Aging 2025;8:e78406
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Cognition: measured using validated instruments (eg, Stroop Color and Word Test, Complutense Verbal Learning Test, Trail-Making Test).
Quality of life: measured using validated instruments (eg, Functional Assessment Short Test and Short Form-36 item Health Survey questionnaire).
Psychiatric symptoms: measured using validated instruments that include one or more of the following domains (eg, depression, anxiety, stress, obsessions, compulsions, psychotic symptoms).
JMIR Res Protoc 2025;14:e80240
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The STAC training is followed by two 15-minute booster sessions to reinforce skill acquisition learning. Research indicates the STAC intervention is effective in decreasing bullying victimization [14-16] and perpetration [15,17,18] and reducing mental health risks [17-23] among students trained in the program.
The STAC-T app is a technology-based version of the in-person STAC bullying bystander intervention.
JMIR Form Res 2025;9:e76830
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Some studies have conducted systematic reviews on the application of AI technologies, such as text mining and machine learning, for the automatic identification of health misinformation [3]. Nonetheless, recognizing medical rumors remains a challenge due to the scarcity of high-quality specialized datasets and the extensive effort required by medical experts for annotation [4,5], making it difficult to train highly accurate rumor detection models.
JMIR AI 2025;4:e76372
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Digital Measurement of Subjective Experiences in Alzheimer Disease and Related Dementias (AD/ADRD)
Reference 7: Machine-learning analysis of voice samples recorded through smartphones: the combined effect
JMIR Aging 2025;8:e71920
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Emerging technologies such as technology-enhanced learning and simulation-based training have played a crucial role in improving the learning experience of practitioners and have become essential in modern education systems [1].
J Med Internet Res 2025;27:e58966
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How AI Is Transforming Medical Education: Bibliometric Analysis
The integration of artificial intelligence (AI) into medical education is not just a passing trend but a transformative leap that promises to revolutionize the quality, efficiency, and accuracy of medical learning and practice. This integration not only addresses the challenges posed by the sheer volume and complexity of medical knowledge but can also offer personalized learning experiences tailored to individual students’ needs and abilities [1].
JMIR Med Educ 2025;11:e75911
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Furthermore, we used zero-shot learning with LLM to comprehend the information needs of patients.
The number of users who posted threads on the forum for patients with lymphoma increased steadily from 2012 to 2016, peaking between 2017 and 2019. After a slight drop from 2020 to 2021 (likely due to the COVID-19 pandemic), user participation recovered from 2022 to 2023, reaching a peak level.
J Med Internet Res 2025;27:e80497
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Health-related comments referenced the value of the breathing and exercise videos, increased awareness and knowledge of their conditions, and learning from the pain modules. Participants also commented on social connections, including the benefits of connecting with others facing similar challenges. Several participants wrote positively about platform affordances, with smart display users discussing the benefits of voice access and laptop users expressing a preference or interest in typing.
JMIR Aging 2025;8:e75991
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The cognitive rehabilitation software used in this study was developed for use in occupational therapy to enhance cognitive function, learning, and development among patients with cognitive impairments.
JMIR Form Res 2025;9:e75805
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