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Disease Prediction Using Machine Learning on Smartphone-Based Eye, Skin, and Voice Data: Scoping Review

Disease Prediction Using Machine Learning on Smartphone-Based Eye, Skin, and Voice Data: Scoping Review

A literature review is a systematic way of collecting studies relevant to a research topic, assessing the methodologies and results of the studies, and making recommendations for improvements if necessary [11]. In the health care domain, the implementation of literature reviews has been considered important for conducting further research and developing guidelines for clinical practice [12].

Research Dawadi, Mai Inoue, Jie Ting Tay, Agustin Martin-Morales, Thien Vu, Michihiro Araki

JMIR AI 2025;4:e59094

Assessment of Health System Readiness and Quality of Dementia Services in Peru: Protocol for a Qualitative Study With Stakeholder Interviews and Documentation Review

Assessment of Health System Readiness and Quality of Dementia Services in Peru: Protocol for a Qualitative Study With Stakeholder Interviews and Documentation Review

Using tracers in health systems research is based on the premise that focusing on carefully selected health problems allows for the identification of weaknesses within the system and facilitates more direct insight of its performance [7,8]. Dementia affects multiple aspects of individual and family well-being, serving as an indicator of multimorbidity in both people with dementia and their carers.

Maria Lazo-Porras, Francisco Jose Tateishi-Serruto, Christopher Butler, María Sofía Cuba-Fuentes, Daniela Rossini-Vilchez, Silvana Perez-Leon, Miriam Lúcar-Flores, J Jaime Miranda, Antonio Bernabe-Ortiz, Francisco Diez-Canseco, Graham Moore, Filipa Landeiro, Maria Kathia Cardenas, Juan Carlos Vera Tudela, Lee White, Rafael A Calvo, William Whiteley, Jemma Hawkins, IMPACT Salud Study Group

JMIR Res Protoc 2025;14:e60296

Patient Experiences With a Mobile Self-Care Solution for Low-Complex Orthopedic Injuries: Mixed Methods Study

Patient Experiences With a Mobile Self-Care Solution for Low-Complex Orthopedic Injuries: Mixed Methods Study

Two independent researchers specialized in qualitative research, not involved in daily clinical practice or the VFC research team, conducted digital semistructured interviews to minimize social-desirability bias. The interviews were held within 6 and 10 weeks post injury to warrant an optimal recall. The interviews were guided by a topic list based on literature, including previously mentioned Bowen feasibility parameters (Multimedia Appendix 4) [8].

Jelle Spierings, Gijs Willinge, Marike Kokke, Sjoerd Repping, Wendela de Lange, Thijs Geerdink, Ruben van Veen, Detlef van der Velde, Carel Goslings, Bas Twigt, Collaboration Group

JMIR Hum Factors 2025;12:e53074

Establishing Syndromic Surveillance of Acute Coronary Syndrome, Myocardial Infarction, and Stroke: Registry Study Based on Routine Data From German Emergency Departments

Establishing Syndromic Surveillance of Acute Coronary Syndrome, Myocardial Infarction, and Stroke: Registry Study Based on Routine Data From German Emergency Departments

The Robert Koch Institute (RKI), a federal agency and research institute responsible for disease control and prevention in Germany, has recognized the practical benefits of this approach. At the RKI, an ED syndromic surveillance system has been established in 2020, using daily routine data from the German Emergency Department Data Registry AKTIN [2]. Currently, 58 EDs in 12 German federal states voluntarily provide data for research and surveillance purposes.

Madlen Schranz, Mirjam Rupprecht, Annette Aigner, Leo Benning, Carmen Schlump, Nesrine Charfeddine, Michaela Diercke, Linus Grabenhenrich, Alexander Ullrich, Hannelore Neuhauser, Birga Maier, AKTIN Research Group, Felix Patricius Hans, Sabine Blaschke

JMIR Public Health Surveill 2025;11:e66218

Understanding the Engagement and Interaction of Superusers and Regular Users in UK Respiratory Online Health Communities: Deep Learning–Based Sentiment Analysis

Understanding the Engagement and Interaction of Superusers and Regular Users in UK Respiratory Online Health Communities: Deep Learning–Based Sentiment Analysis

Note that superusers also interact with each other, but the study of these interactions is beyond our research questions and is not shown here. We investigate the sentiment of superusers in reply to positive, negative, and neutral level-0 posts of regular users.

Xiancheng Li, Emanuela Vaghi, Gabriella Pasi, Neil S Coulson, Anna De Simoni, Marco Viviani, AD HOC Group

J Med Internet Res 2025;27:e56038

Assessment of Environmental, Sociocultural, and Physiological Influences on Women’s Toileting Decisions and Behaviors Using “Where I Go”: Pilot Study of a Mobile App

Assessment of Environmental, Sociocultural, and Physiological Influences on Women’s Toileting Decisions and Behaviors Using “Where I Go”: Pilot Study of a Mobile App

To address this gap, the Prevention of Lower Urinary Tract Symptoms (PLUS) Research Consortium developed a smartphone app called “Where I Go.” The Consortium’s goal was to produce a sophisticated data collection tool to explore potential relationships between factors influencing toileting decisions and bladder health.

Abigail R Smith, Elizabeth R Mueller, Cora E Lewis, Alayne Markland, Caroline Smerdon, Ariana L Smith, Siobhan Sutcliffe, Jean F Wyman, Lisa Kane Low, Janis M Miller, The Prevention of Lower Urinary Tract Symptoms (PLUS) Research C

JMIR Mhealth Uhealth 2025;13:e56533

Using Laboratory Test Results for Surveillance During a New Outbreak of Acute Hepatitis in 3-Week- to 5-Year-Old Children in the United Kingdom, the Netherlands, Ireland, and Curaçao: Observational Cohort Study

Using Laboratory Test Results for Surveillance During a New Outbreak of Acute Hepatitis in 3-Week- to 5-Year-Old Children in the United Kingdom, the Netherlands, Ireland, and Curaçao: Observational Cohort Study

We plotted rates for elevated AST and ALT measurements by month in each age group as the proportion of the total number of tests. For example, a rate of 0.05 means that 5% of all tests were elevated. We also plotted the mean of AST and ALT among all those who had elevated measurements by month in each age group. This analysis was carried out for each center individually and for various pooled datasets (eg, all locations in England, Scotland, and Wales were pooled for the UK analysis).

Maaike C Swets, Steven R Kerr, Brian MacKenna, Louis Fisher, Merel van Wijnen, Diederik Brandwagt, Paul W Schenk, Pieter Fraaij, Leonardus G Visser, Sebastian Bacon, Amir Mehrkar, Alistair Nichol, Patrick Twomey, Philippa C Matthews, ISARIC4C Hepatitis Study Group, Malcolm G Semple, Geert H Groeneveld, Ben Goldacre, Iain Jones, J Kenneth Baillie

JMIR Public Health Surveill 2024;10:e55376

Reporting Guidelines for the Early-Phase Clinical Evaluation of Applications Using Extended Reality: RATE-XR Qualitative Study Guideline

Reporting Guidelines for the Early-Phase Clinical Evaluation of Applications Using Extended Reality: RATE-XR Qualitative Study Guideline

The committee was selected by the project initiators—JHV, Jv B, and MEv G—to ensure a diverse representation of expertise within the XR and research domains. Members of our study group, including CJ, DLQD, DG, EJW, and OJB, were included for their direct contributions to this project. Additionally, we engaged 5 of the most influential authors in XR research as cited in a recent JMIR article—GR, BKW, PC, ASR, and CB—to incorporate a broad range of perspectives and expertise [2].

Johan H Vlake, Denzel LQ Drop, Jasper Van Bommel, Giuseppe Riva, Brenda K Wiederhold, Pietro Cipresso, Albert S Rizzo, Barbara O Rothbaum, Cristina Botella, Lotty Hooft, Oscar J Bienvenu, Christian Jung, Bart Geerts, Evert-Jan Wils, Diederik Gommers, Michel E van Genderen, RATE-XR Expert Group

J Med Internet Res 2024;26:e56790