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Effectiveness of Augmented Reality in the Teaching of Health University Students: Quasi-Experimental Study

Effectiveness of Augmented Reality in the Teaching of Health University Students: Quasi-Experimental Study

The aim was to compare the degree of usability of the two AR applications mentioned above. Moreover, the purpose was to compare the academic performance of the control group and the experimental group of the Universities of Cádiz and Málaga as a result of the use of the AR applications.

Rocío Martín-Valero, Alejandro Vega-Morales Sr, Francisco Javier Martín-Vega, Manuel Rodriguez-Huguet, Maria Carmen Rodríguez-Martínez, Maria Jesus Vinolo-Gil

JMIR Serious Games 2025;13:e54312

Use of Remote Assessment Tools to Substitute Routine Outpatient Care: Scoping Review

Use of Remote Assessment Tools to Substitute Routine Outpatient Care: Scoping Review

The search terms used to describe the intervention were “survey,” “telemedicine,” “mobile applications,” and “tertiary” with synonyms built out from these initial terms. Studies published in the last 10 years in English and indexed in the following databases were searched: Pub Med, CINAHL, Embase, Web of Science, and Cochrane. The Pub Med search strategy is included in Multimedia Appendix 2. Inclusion criteria Study type: Peer-reviewed, full-length studies.

Jayne Barclay, Clair Sullivan, Michael Beckmann, Graeme Mattison, Rebecca Runciman, Elizabeth Martin

J Med Internet Res 2025;27:e65938

Advancing Health Care With Digital Twins: Meta-Review of Applications and Implementation Challenges

Advancing Health Care With Digital Twins: Meta-Review of Applications and Implementation Challenges

These applications correspond to 3 main areas: personalized medicine, operational efficiency and resource management, and advancements in medical research and drug development. DTs have emerged as a transformative tool in health care, offering tailored solutions across various applications. The following sections present 3 critical categories of DT applications, each accompanied by tables outlining the inputs, processes, and outputs relevant to each application.

Mickaël Ringeval, Faustin Armel Etindele Sosso, Martin Cousineau, Guy Paré

J Med Internet Res 2025;27:e69544

Exploring the Effect of an 8-Week AI-Composed Exercise Program on Pain Intensity and Well-Being in Patients With Spinal Pain: Retrospective Cohort Analysis

Exploring the Effect of an 8-Week AI-Composed Exercise Program on Pain Intensity and Well-Being in Patients With Spinal Pain: Retrospective Cohort Analysis

The increasing digitalization of health care and therapeutic services allows patients to use various mobile and web applications to manage their conditions [11]. Digital solutions provide a scalable and widely accessible approach, enabling the management of spinal pain in rural areas where the availability of physiotherapists is limited [12]. Digital therapeutic care applications mostly include video-based treatment programs and educational materials [13].

Annika Griefahn, Florian Avermann, Christoff Zalpour, Robert Percy Marshall, Inés Cordon Morillas, Kerstin Luedtke

JMIR Form Res 2025;9:e57826

The Role of Clinician-Developed Applications in Promoting Adherence to Evidence-Based Guidelines: Pilot Study

The Role of Clinician-Developed Applications in Promoting Adherence to Evidence-Based Guidelines: Pilot Study

applicationsThe Role of Clinician-Developed Applications in Promoting Adherence to Evidence-Based Guidelines: Pilot

Madhu Prita Prakash, Aravinda Thiagalingam

JMIR Cardio 2024;9:e55958

Research Trends on Metabolic Syndrome in Digital Health Care Using Topic Modeling: Systematic Search of Abstracts

Research Trends on Metabolic Syndrome in Digital Health Care Using Topic Modeling: Systematic Search of Abstracts

It uses large language models like BERT to capture the semantic relationships between words and then applies techniques such as hierarchical density–based clustering of applications with noise for clustering and term frequency-inverse document frequency for keyword extraction. This combination allows BERTopic to generate interpretable topics that reflect the underlying themes in the data, making it a powerful tool for analyzing and understanding large text corpora.

Kiseong Lee, Yoongi Chung, Ji-Su Kim

J Med Internet Res 2024;26:e53873