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Recent Advancements in Wearable Hydration-Monitoring Technologies: Scoping Review of Sensors, Trends, and Future Directions

Recent Advancements in Wearable Hydration-Monitoring Technologies: Scoping Review of Sensors, Trends, and Future Directions

The rationale behind this scoping review was to comprehensively explore the landscape of wearable hydration-monitoring technologies, addressing key questions to enhance understanding and inform future research and development.

Nazim A. Belabbaci, Raphael Anaadumba, Mohammad Arif Ul Alam

JMIR Mhealth Uhealth 2025;13:e60569

Temporal Dynamics of Subtle Cognitive Change: Validation of a User-Friendly Multidomain Digital Assessment Using an Alcohol Challenge

Temporal Dynamics of Subtle Cognitive Change: Validation of a User-Friendly Multidomain Digital Assessment Using an Alcohol Challenge

“The DSST is a paper-and-pencil cognitive test presented on a single sheet of paper that requires a subject to match symbols to numbers according to a key located on the top of the page. The subject copies the symbol into spaces below a row of numbers. The number of correct symbols within the allowed time...constitutes the score.” [44]. The WAIS-IV instructions, specifying a 120-second time limit, were used [45].

John Frederick Dyer, Florentine Marie Barbey, Ayan Ghoshal, Ann Marie Hake, Bryan J Hansen, Md Nurul Islam, Judith Jaeger, Rouba Kozak, Hugh Marston, Mark Moss, Viet Nguyen, Rebecca Louise Quinn, Leslie A Shinobu, Elizabeth Tunbridge, Brian Murphy, Niamh Kennedy

J Med Internet Res 2025;27:e55469

The Influence of Medical Culture and Key Factors on Mobile App Usage Frequency and Perceived Effectiveness in Physical Therapy: Cross-Sectional Study

The Influence of Medical Culture and Key Factors on Mobile App Usage Frequency and Perceived Effectiveness in Physical Therapy: Cross-Sectional Study

Perceived effectiveness of mobile apps was another key outcome, assessed using a Likert scale where participants rated the effectiveness of mobile apps in improving patient outcomes, enhancing patient engagement, and streamlining clinical workflows [29]. The effectiveness score was calculated as the mean of these ratings, with higher scores indicating greater perceived effectiveness [29].

Khalid A Alahmari, Ravi Shankar Reddy

J Med Internet Res 2025;27:e68406

Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study

Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study

Overview of unstructured data processing for a single timestep. CUIs are extracted from clinical notes by c TAKES and assembled into a usable data structure that maps encounter ID to a list of CUIs associated with the timestep. A table of CUI-associated data is created, independent of patient data, containing preferred text, ICD codes, Sap BERT embedding, and cluster information.

Charles A Kotula, Jennie Martin, Kyle A Carey, Dana P Edelson, Dmitriy Dligach, Anoop Mayampurath, Majid Afshar, Matthew M Churpek

J Med Internet Res 2025;27:e75340

Relationship of Hair Cortisol Concentration With Perceived and Somatic Stress Indices: Cross-Sectional Pilot Study

Relationship of Hair Cortisol Concentration With Perceived and Somatic Stress Indices: Cross-Sectional Pilot Study

The duration of stress exposure is a key determinant of the disease risk attributed to stress. Acute stress is an adaptive response to a challenge and is generally not harmful to health [6]. However, when stress is severe, or experienced continuously or repeatedly, it can lead to psychological and physical illness [5,7]. While the detrimental effects of chronic stress on health are well-recognized, measuring stress burden remains challenging [8].

Sharon H Bergquist, Danyang Wang, Brad Pearce, Alicia K Smith, Allison Hankus, David L Roberts, Miranda A Moore

JMIR Form Res 2025;9:e63811

Implications of Data Extraction and Processing of Electronic Health Records for Epidemiological Research: Observational Study

Implications of Data Extraction and Processing of Electronic Health Records for Epidemiological Research: Observational Study

Nivel-PCD: All insurance claims codes as recorded by the GP are received, however, when a dataset has been requested by the researcher, the codes are filtered by the data processor to include a selection of codes relevant to the study (in agreement with the researchers), on a database zone level. Contacts Defined as moments of contact between a GP and a patient. Based on unique dates on which an insurance claim code was recorded by the GP, that is, the maximum number of contacts per patient per day is 1.

Melissa H J van Essen, Robin Twickler, Yvette M Weesie, Ilgin G Arslan, Feikje Groenhof, Lilian L Peters, Isabelle Bos, Robert A Verheij

J Med Internet Res 2025;27:e64628

Smartphone Ecological Momentary Assessment and Wearable Activity Tracking in Pediatric Depression: Cohort Study

Smartphone Ecological Momentary Assessment and Wearable Activity Tracking in Pediatric Depression: Cohort Study

By addressing these key aspects of feasibility, this study provides critical insights into the viability of smartphone-based EMA for real-time symptom monitoring and personalized intervention development in adolescent depression. As this is a pilot study with a small sample size, the findings should be viewed as preliminary.

Jimena Unzueta Saavedra, Emma A Deaso, Margot Austin, Laura Cadavid, Rachel Kraff, Emma E M Knowles

JMIR Form Res 2025;9:e66187

Lessons Learned From the Integration of Ambient Assisted Living Technologies in Older Adults’ Care: Longitudinal Mixed Methods Study

Lessons Learned From the Integration of Ambient Assisted Living Technologies in Older Adults’ Care: Longitudinal Mixed Methods Study

Finally, we share key lessons from the technology deployment process. As mentioned earlier, a lot of great work has been done, and some researchers have also shared personal narratives and lessons learned. While these lessons learned by other researchers provide valuable insights, they lag in 3 important ways that motivate our work.

Oteng Ntsweng, Martin Kodyš, Zhi Quan Ong, Fang Zhou, Antoine de Marassé-Enouf, Ibrahim Sadek, Hamdi Aloulou, Sharon Swee-Lin Tan, Mounir Mokhtari

JMIR Rehabil Assist Technol 2025;12:e57989

Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project

Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project

PGS is often conducted on a large scale, targeting asymptomatic individuals as part of public health initiatives. As a result, the communication typically emphasizes general risk awareness, with initial results disclosure indicating increased risk rather than confirming a diagnosis.

Emma Coen, Guilherme Del Fiol, Kimberly A Kaphingst, Emerson Borsato, Jackilen Shannon, Hadley Smith, Aaron Masino, Caitlin G Allen

JMIR Cancer 2025;11:e65848