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Standardizing Survey Data Collection to Enhance Reproducibility: Development and Comparative Evaluation of the ReproSchema Ecosystem

Standardizing Survey Data Collection to Enhance Reproducibility: Development and Comparative Evaluation of the ReproSchema Ecosystem

(C) Git Hub repository versions of each protocol and its components, assigning persistent uniform resource identifiers (URIs) and serving associated web interfaces. (D) The browser-based reproschema-ui enables interactive survey deployment and data collection. (E) Survey responses are stored in structured JSON-LD with embedded provenance and links to standardized schema elements.

Yibei Chen, Dorota Jarecka, Sanu Ann Abraham, Remi Gau, Evan Ng, Daniel M Low, Isaac Bevers, Alistair Johnson, Anisha Keshavan, Arno Klein, Jon Clucas, Zaliqa Rosli, Steven M Hodge, Janosch Linkersdörfer, Hauke Bartsch, Samir Das, Damien Fair, David Kennedy, Satrajit S Ghosh

J Med Internet Res 2025;27:e63343

Regulatory Insights From 27 Years of Artificial Intelligence/Machine Learning–Enabled Medical Device Recalls in the United States: Implications for Future Governance

Regulatory Insights From 27 Years of Artificial Intelligence/Machine Learning–Enabled Medical Device Recalls in the United States: Implications for Future Governance

The Guidance of Initiation of Voluntary Recalls Under 21 CFR Part 7, Subpart C mentions referencing 21 CFR 820.100(a)(2), which requires procedures for implementing corrections or preventive actions to include an investigation of the causes for nonconformities related to the product, processes, and quality systems.

Wei-Pin Chen, Wei-Guang Teng, C Benson Kuo, Yu-Jui Yen, Jian-Yu Lian, Matthew Sing, Peng-Ting Chen

JMIR Med Inform 2025;13:e67552

A Resource-Efficient, High-Dose, Gamified Neurorehabilitation Program for Chronic Stroke at Home: Retrospective Real-World Analysis

A Resource-Efficient, High-Dose, Gamified Neurorehabilitation Program for Chronic Stroke at Home: Retrospective Real-World Analysis

(C) The Mind Motion GO telerehabilitation device uses camera-based motion tracking to control gamified training activities displayed on a television screen. (D) The Izar, a therapeutic device to train hand function, being grasped in a hand. Suggested weekly schedule. These telerehabilitation sessions were guided directly by a physical therapist who was present via video conferencing.

Spencer A Arbuckle, Anna Sophie Knill, Michelle H Chan-Cortés, Gabriela Rozanski, Anastasia Elena Ford, Louis T Derungs, John W Krakauer, Naveed Ejaz, David Putrino, Jenna Tosto-Mancuso, Meret Branscheidt

JMIR Serious Games 2025;13:e69335

Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation

Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation

For SVM, both L1 and L2 regularization, variance tolerance values for the stopping criteria, and different values for the inverse of regularization strength, C, were compared. As regularization has a known role in reducing overfitting, the hyperparameters were chosen for tuning to identify the amount and type of regularization and early stopping criteria that are suitable for the classification tasks. After this, the optimal hyperparameters were found by Grid Search CV from the scikit-learn library.

Mustafa Khanbhai, Catalina Carenzo, Sarindi Aryasinghe, David Manton, Erik Mayer

JMIR Med Inform 2025;13:e60900

AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients

AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients

The most important features are a high extension in pulmonary infiltrate in the radiology report, tachypnea, LDH, BMI, C-reactive protein, and leukocyte. Features such as creatinine, EDW, and procalcitonin have ambiguous interpretations, as both low and high values contribute to the prediction. Figure 8 provides an example of this behavior for EDW.

Jose Manuel Ruiz Giardin, Óscar Garnica, Nieves Mesa Plaza, Juan Víctor SanMartín López, Ana Farfán Sedano, Elena Madroñal Cerezo, Miguel Ángel Duarte Millán, Aida Izquierdo Martínez, Luis Rivas, Marta Rivilla, Alejandro Morales Ortega, Begoña Frutos Pérez, Cristina De Ancos Aracil, Ruth Calderón, Guillermo Soria Fernandez, Jorge Marrero Francés, David Bernal Bello, Jose Ángel Satué Bartolomé, María Toledano Macías, Sara Piedrabuena García, Marta Guerrero Santillán, Rafael Cristóbal, Belen Mora, Laura Velázquez Ríos, Vanesa García de Viedma, Paula Cuenca Ruiz, Ibone Ayala Larrañaga, Lorena Carpintero, Celia Lara, Alvaro Ricardo Llerena, Virginia García Bermúdez, Gema Delgado Cárdenas, Paloma Pardo Rovira, Elena Tejero Sánchez, Maria Jesús Domínguez García, Carolina Mariño, Cristina Bravo, Ana Ontañon, Mario García, Jose Ignacio Hidalgo Pérez, Santiago Prieto Menchero, Natalia González Pereira, Sonia Gonzalo Pascua, Jorge Tarancón Rey, Luis Antonio Lechuga Suárez, FUENCOVID

J Med Internet Res 2025;27:e70674