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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

To compare if the proportion of asynchronous ATT systematically changed for all patients across the program duration, we used a 2-sided t test to compare the beta coefficients to 0 (see section “Assessing Training Consistency” in the Methods).

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

Using a Multilingual AI Care Agent to Reduce Disparities in Colorectal Cancer Screening for Higher Fecal Immunochemical Test Adoption Among Spanish-Speaking Patients: Retrospective Analysis

Using a Multilingual AI Care Agent to Reduce Disparities in Colorectal Cancer Screening for Higher Fecal Immunochemical Test Adoption Among Spanish-Speaking Patients: Retrospective Analysis

Differences between Spanish- and English-speaking groups were assessed using independent samples t tests for continuous variables and chi-square tests for categorical variables. A logistic regression analysis was conducted to evaluate factors associated with FIT test opt-in rates, controlling for age, gender, geographic location, and call duration. The model’s goodness of fit was assessed using the Hosmer-Lemeshow test, and model performance was evaluated using Nagelkerke R².

Meenesh Bhimani, R Hal Baker, Markel Sanz Ausin, Gerald Meixiong, Rae Lasko, Mariska Raglow-Defranco, Alex Miller, Subhabrata Mukherjee, Saad Godil, Anderson Cook, Jonathan D Agnew, Ashish Atreja

J Med Internet Res 2025;27:e71211