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A Culturally Tailored mHealth Intervention (MobileMen App) to Promote Physical Activity in African American Men: Protocol for a Comparative Effectiveness Trial

A Culturally Tailored mHealth Intervention (MobileMen App) to Promote Physical Activity in African American Men: Protocol for a Comparative Effectiveness Trial

Comparisons on demographics (ie, age, marital status) will be done using chi-square tests, t tests, and correlations, with 2-tailed P=.05. The changes from baseline to all postbaseline visits until week 24 in steps per day will be assessed. The model includes response data from all postbaseline visits with no imputation for missing data, as the model assumes missingness at random. The step counts at baseline are included as a fixed factor in the model.

Kayla Nuss, Amanda Brice, Callie Hebert, Phillip Nauta, April J Stull, Damon L Swift, Derek M Griffith, David B Buller, Robert L Newton Jr

JMIR Res Protoc 2025;14:e67809

Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study

Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study

Probability: 70% Type: infectious Size: 2 Severity: mild Etiology: viral Source: forum post Snippet: “[T]o the rule, but they told us blocked tear duct and it was bacterial conjunctivitis. She ended up spreading it to big sister and me!” Probability: 100% Type: infectious Size: 3 Severity: moderate Etiology: bacterial Source: forum post Snippet: “[K]now Pink eye that easily infectious. Hopefully everyone recovers with no lasting damage.

Michael S Deiner, Russell Y Deiner, Cherie Fathy, Natalie A Deiner, Vagelis Hristidis, Stephen D McLeod, Thomas J Bukowski, Thuy Doan, Gerami D Seitzman, Thomas M Lietman, Travis C Porco

J Med Internet Res 2025;27:e65226

Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar Fractures

Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar Fractures

Readability scores were then statistically analyzed using a paired t test to compare readability scores between the original MRI reports written by the radiologist and GPT-4o–generated layman explanations in order to assess whether there was a significant difference in FRES and FKGL scores. Paired t tests were performed on the exact FKGL and FKRE values (not ranges) to assess statistical significance.

David C Sing, Kishan S Shah, Michael Pompliano, Paul H Yi, Calogero Velluto, Ali Bagheri, Robert K Eastlack, Stephen R Stephan, Gregory M Mundis Jr

JMIR AI 2025;4:e69654

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