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Facial Emotion Recognition of 16 Distinct Emotions From Smartphone Videos: Comparative Study of Machine Learning and Human Performance

Facial Emotion Recognition of 16 Distinct Emotions From Smartphone Videos: Comparative Study of Machine Learning and Human Performance

The attention network with appearance features achieved an overall accuracy of 92.2% (95% CI 91.2-93.2) and a UAR of 92.9% (Table 3) for the binary classification, which was significantly greater than chance (P The attention network’s multiclass classification achieved an overall accuracy of 54.2% (95% CI 52.4-56) and a UAR of 52.9% (Table 4), which was significantly greater than chance (P Confusion matrix of the attention network’s multiclass classification.

Marie Keinert, Simon Pistrosch, Adria Mallol-Ragolta, Björn W Schuller, Matthias Berking

J Med Internet Res 2025;27:e68942

Effectiveness of Interventions to Improve Digital Health Literacy in Forced Migrant Populations: Mixed Methods Systematic Review

Effectiveness of Interventions to Improve Digital Health Literacy in Forced Migrant Populations: Mixed Methods Systematic Review

Positive results: a significant improvement in individuals’ health literacy was observed after the intervention, with the mean HLS-EU-Q16a score increasing from a “problematic” 9.55 (SD 4.35) to a “sufficient” 14.03 (SD 2.68; z=−6.256, P The differences between pretest and posttest intervention scores were statistically significant for both men and women and for participants of all nationalities, except for the Chinese group.

Achille Roghemrazangba Yameogo, Carole Délétroz, Maxime Sasseville, Samira Amil, Sié Mathieu Aymar Romaric Da, James Plaisimond, Frédéric Bergeron, Sofia Tadlaoui, Patrick Bodenmann, Marie-Pierre Gagnon

J Med Internet Res 2025;27:e69880

Research Dissemination Strategies in Pediatric Emergency Care Using a Professional Twitter (X) Account: A Mixed Methods Developmental Study of a Logic Model Framework

Research Dissemination Strategies in Pediatric Emergency Care Using a Professional Twitter (X) Account: A Mixed Methods Developmental Study of a Logic Model Framework

narrative story to provide sufficient content (BA) Priority list of timely content for tweets such as newly published PECARN studies with icons to assist readers (AG) Iterative operation manual with protocols and policies to align with stakeholders and unexpected obstacles (S, T, Y) Developing approach to unexpected events and outside-of-scope requests (O, AD, AM, AU) Outcomes Development of analytic metrics with dashboard monitoring (Q) Increasing and broadening followership for Twitter account (AK, AX, K, P)

Gwendolyn C Hooley, Julia N Magana, Jason M Woods, Shyam Sivasankar, Lauren VonHoltz, Anita R Schmidt, Todd P Chang, Michelle Lin

JMIR Form Res 2025;9:e59481

Integrating Mobile Health App Data Into Electronic Medical or Health Record Systems and Its Impact on Health Care Delivery and Patient Health Outcomes: Scoping Review

Integrating Mobile Health App Data Into Electronic Medical or Health Record Systems and Its Impact on Health Care Delivery and Patient Health Outcomes: Scoping Review

Both the mobile intensive care and mobile self-care groups experienced significant reductions in hemoglobin A1c levels at 12 weeks compared with the usual care group (−1.04% vs −0.86% vs −0.49%; P=.02) [12]. Similarly, a trial involving 68 people with overweight or obesity reported significant weight loss (mean difference 1.4 kg, 95% CI 0.9‐1.9; P However, there is incredible diversity in app function, design, and purpose, and some studies have reported no significant clinical outcomes.

Jialing Lin, Shona Marie Bates, Luke N Allen, Michael Wright, Limin Mao, Michael Kidd

JMIR Mhealth Uhealth 2025;13:e66650