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Optimizing and Testing an Individualized and Adaptive Physical Activity Digital Health Intervention: Protocol for a Control Optimization Trial Embedded Within a Randomized Controlled Trial

Optimizing and Testing an Individualized and Adaptive Physical Activity Digital Health Intervention: Protocol for a Control Optimization Trial Embedded Within a Randomized Controlled Trial

De-identified data were downloaded for analysis and stored on password-protected servers at the EPARC, with no personally identifiable information was linked to the device-captured data. EPARC servers were accessible only to study staff involved in the measurement of study participants and analysis of study data.

Meelim Kim, Shadia Mansour-Assi, Mohamed El Mistiri, Junghwan Park, Sarasij Banerjee, Owais Khan, Steven De La Torre, Michael Higgins, Job Godino, Kevin Patrick, Camille Nebeker, Sonia Jain, Predrag Klasnja, Daniel E Rivera, Eric Hekler

JMIR Res Protoc 2025;14:e70599

Economic Evaluations and Equity in the Use of Artificial Intelligence in Imaging Examinations for Medical Diagnosis in People With Dermatological, Neurological, and Pulmonary Diseases: Systematic Review

Economic Evaluations and Equity in the Use of Artificial Intelligence in Imaging Examinations for Medical Diagnosis in People With Dermatological, Neurological, and Pulmonary Diseases: Systematic Review

To tackle these challenges, the Brazilian Ministry of Health’s Support Program for the Institutional Development of the Unified Health System (in Portuguese, “Programa de Apoio ao Desenvolvimento Institucional do Sistema Único de Saúde,” known as PROADI-SUS) supports a collaborative project named “Banco de Imagens” (Bank of Images) to create a nationwide cloud-based repository of medical images, as well as to develop and validate AI algorithms to assist in disease diagnosis.

Giulia Osório Santana, Rodrigo de Macedo Couto, Rafael Maffei Loureiro, Brunna Carolinne Rocha Silva Furriel, Luis Gustavo Nascimento de Paula, Edna Terezinha Rother, Joselisa Péres Queiroz de Paiva, Lucas Reis Correia

Interact J Med Res 2025;14:e56240

Open Source Web Application (HealthTest) for Emotional Health and Wellness Management in University Students: Development and Usability Study

Open Source Web Application (HealthTest) for Emotional Health and Wellness Management in University Students: Development and Usability Study

This study was approved by the Research and Ethics Committee of the Universidad Técnica Estatal de Quevedo on June 27, 2025 (Certificate No. CERT-ÉTICA-013-DICYT-2025). The committee determined that the research complies with national and international ethical standards and does not involve experimentation on living human beings, in accordance with the Ecuadorian CEISH regulations (Registro Oficial No. 279, July 1, 2014).

Lucrecia Llerena, Daisy Nata Castro, Nancy Rodriguez, Donald Silva Sánchez

Online J Public Health Inform 2025;17:e69413

Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study

Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study

The dataset we built in this work, called D3 TEC (TEC de Monterrey’s Depression Detection Dataset), stands out for providing 2 new types of data previously unavailable in voice depression classification: Spanish recordings and simultaneous recordings using both professional and smartphone microphones. Moreover, audio quality standards are higher than most publicly available voice depression datasets.

Luis F Brenes, Luis A Trejo, Jose Antonio Cantoral-Ceballos, Daniela Aguilar-De León, Fresia Paloma Hernández-Moreno

JMIR Res Protoc 2025;14:e60439