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Auxiliary Teaching and Student Evaluation Methods Based on Facial Expression Recognition in Medical Education

Auxiliary Teaching and Student Evaluation Methods Based on Facial Expression Recognition in Medical Education

Facial expression recognition technology can capture students’ emotional reactions, providing teachers with a more comprehensive evaluation basis, thereby more accurately assessing students’ comprehensive qualities and potential. In addition, traditional medical education often adopts a teacher-led teaching mode in teaching methods, lacking student participation and interaction.

Xueling Zhu, Roben A Juanatas

JMIR Hum Factors 2025;12:e72838

Statistical Relationship Between Wastewater Data and Case Notifications for COVID-19 Surveillance in the United States From 2020 to 2023: Bayesian Hierarchical Modeling Approach

Statistical Relationship Between Wastewater Data and Case Notifications for COVID-19 Surveillance in the United States From 2020 to 2023: Bayesian Hierarchical Modeling Approach

We restricted the analysis to counties with a minimum of 50 weeks of available wastewater data during the study period, which resulted in 107 counties being included, covering a range of geographic areas within the United States, and with periods of data incompleteness for the majority of counties. We assessed the correlation between wastewater metrics and case totals with different time lags (0 wk, 1 wk, 2 wk, etc), and found that a 0 week time lag has the highest correlation.

Masahiko Haraguchi, Fayette Klaassen, Ted Cohen, Joshua A Salomon, Nicolas A Menzies

JMIR Public Health Surveill 2025;11:e68213

The American Transformative HIV Study: Protocol for a US National Cohort of Sexual and Gender Minority Individuals With HIV

The American Transformative HIV Study: Protocol for a US National Cohort of Sexual and Gender Minority Individuals With HIV

Key questions answered by including these participants will include identifying psychosocial and demographic factors associated with a timeline to sample return (for those who return a sample at a future wave) as well as how these factors differentiate those who do not return a sample going forward. We estimated pre-enrollment HIV incidence using baseline data on HIV serostatus and HIV testing history prior to joining the study.

Christian Grov, Alexa B D'Angelo, Chloe Mirzayi, Michelle Dearolf, Elena Hoeppner, Yan Guo, Nicole Richards, Rifa Ehsan, Sarah Kulkarni, Denis Nash, Viraj V Patel, Dustin T Duncan, Meredith Ray, Tyler Bartholomew, Jennifer Manuzak, Jennifer Manuel, Kathryn McCollister, Drew Westmoreland, Adam W Carrico

JMIR Public Health Surveill 2025;11:e66921

Application of Machine Learning and Emerging Health Technologies in the Uptake of HIV Testing: Bibliometric Analysis of Studies Published From 2000 to 2024

Application of Machine Learning and Emerging Health Technologies in the Uptake of HIV Testing: Bibliometric Analysis of Studies Published From 2000 to 2024

The VOSviewer software (version 1.6.20) provides a visualized and comprehensive understanding of the relationships between different networks within the dataset [20]. Normalization was applied at full counting for co-citation, co-occurrence, and international collaboration analyses. A maximum of 25 countries per document and a minimum of 5 documents per country were established as eligibility criteria, resulting in 53 eligible countries, of which 13 met the collaboration threshold.

Musa Jaiteh, Edith Phalane, Yegnanew A Shiferaw, Lateef Babatunde Amusa, Hossana Twinomurinzi, Refilwe Nancy Phaswana-Mafuya

Interact J Med Res 2025;14:e64829

A Just-in-Time Adaptive Intervention (Shift) to Manage Problem Anger After Trauma: Co-Design and Development Study

A Just-in-Time Adaptive Intervention (Shift) to Manage Problem Anger After Trauma: Co-Design and Development Study

A JITAI includes 6 key elements, namely a distal outcome, proximal outcomes, decision points, intervention options, tailoring variables, and decision rules. While research has established that digital mental health tools for problem anger are feasible, much remains unknown about how to design a JITAI for this population, and more empirical work including data-driven approaches to designing JITAI is needed [14,17].

Olivia Metcalf, David Forbes, Lauren M Henry, Tianchen Qian, Tracey Varker, Melissa A Brotman, Sean Cowlishaw, Karen E Lamb, Meaghan L O'Donnell

JMIR Hum Factors 2025;12:e62960

Developing a Dyadic Immersive Virtual Environment Technology Intervention for Persons Living With Dementia and Their Caregivers: Multiphasic User-Centered Design Study

Developing a Dyadic Immersive Virtual Environment Technology Intervention for Persons Living With Dementia and Their Caregivers: Multiphasic User-Centered Design Study

Caregivers were eligible if they (1) aged >18 years, (2) self-identified as informal caregivers for a person living with dementia (eg, a family member or friend providing support), (3) could participate in English, and (4) had access to a video-enabled device for Zoom participation. Of the 31 caregivers screened for focus groups, 5 (16%) were ineligible due to not identifying as a caregiver of a person living with dementia, 13 (42%) had scheduling conflicts, and 5 (16%) could not be contacted.

Elizabeth A Rochon, Ayush Thacker, Mirelle Phillips, Christine Ritchie, Ana-Maria Vranceanu, Evan Plys

JMIR Aging 2025;8:e66212

An Internet-Based and Mobile Family Management Intervention for Mothers of Very Preterm Infants Hospitalized in the Neonatal Intensive Care Unit (the Preemie Progress Program): Pilot Randomized Controlled Trial

An Internet-Based and Mobile Family Management Intervention for Mothers of Very Preterm Infants Hospitalized in the Neonatal Intensive Care Unit (the Preemie Progress Program): Pilot Randomized Controlled Trial

Finally, PP was flexibly designed so that this promising intervention could be used as a stand-alone parent training program or as a complement to structure the parent education pillar of adapted FICare programs. As the initial weeks after birth of a very preterm infant are stressful and chaotic for parents in the NICU, our team needed to understand the feasibility of our intervention and study procedures before a future definitive trial could commence with testing the efficacy of PP.

Ashley Weber, Tamilyn Bakas, Qutaibah Oudat, Nehal A Parikh, Joshua Lambert, Heather L Tubbs-Cooley, Jared Rice, Kristin Voos, Matthew Rota, Heather C Kaplan

JMIR Form Res 2025;9:e66073

Comparison of ChatGPT and Internet Research for Clinical Research and Decision-Making in Occupational Medicine: Randomized Controlled Trial

Comparison of ChatGPT and Internet Research for Clinical Research and Decision-Making in Occupational Medicine: Randomized Controlled Trial

A minimum of 50 participants was set as a minimum number in a 3-month interval. With a sum of 3 weeks of lectures, occupational medicine is a very small part of the study program at medical universities. Physicians and medical students both were expected to have a similar level of knowledge in relation to occupational medicine, since occupational health aspects play only a very small role, if any, in specialist medical training. Thus, both groups were included in the study.

Felix A Weuthen, Nelly Otte, Hanif Krabbe, Thomas Kraus, Julia Krabbe

JMIR Form Res 2025;9:e63857

Mobile- and Web-Based Interventions for Promoting Healthy Diets, Preventing Obesity, and Improving Health Behaviors in Children and Adolescents: Systematic Review of Randomized Controlled Trials

Mobile- and Web-Based Interventions for Promoting Healthy Diets, Preventing Obesity, and Improving Health Behaviors in Children and Adolescents: Systematic Review of Randomized Controlled Trials

The interventions varied in design, duration, and behavioral focus, with some addressing multiple lifestyle behaviors simultaneously The characteristics of the included studies and a detailed description of the interventions are summarized in Table 1 and Table 2, respectively. Characteristics of the included studies. School CG: no videos. Control condition as a comparison. IG: compared the effects of gain-framed and loss-framed videos on children’s food choices using a control condition as a comparison.

Clara Talens, Noelia da Quinta, Folasade A Adebayo, Maijaliisa Erkkola, Maria Heikkilä, Kamilla Bargiel-Matusiewicz, Natalia Ziółkowska, Patricia Rioja, Agnieszka E Łyś, Elena Santa Cruz, Jelena Meinilä

J Med Internet Res 2025;27:e60602