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ChatGPT-4–Driven Liver Ultrasound Radiomics Analysis: Diagnostic Value and Drawbacks in a Comparative Study

ChatGPT-4–Driven Liver Ultrasound Radiomics Analysis: Diagnostic Value and Drawbacks in a Comparative Study

The model was configured with L2 regularization, and the regularization strength parameter (C) was optimized through grid search over a predefined range [36,37]. The liblinear solver was used for its suitability with small datasets, and the maximum number of iterations was set to 1000 to ensure model convergence.

Laith R Sultan, Shyam Sunder B Venkatakrishna, Sudha A Anupindi, Savvas Andronikou, Michael R Acord, Hansel J Otero, Kassa Darge, Chandra M Sehgal, John H Holmes

JMIR AI 2025;4:e68144

Research Dissemination Strategies in Pediatric Emergency Care Using a Professional Twitter (X) Account: A Mixed Methods Developmental Study of a Logic Model Framework

Research Dissemination Strategies in Pediatric Emergency Care Using a Professional Twitter (X) Account: A Mixed Methods Developmental Study of a Logic Model Framework

development (R) Acquisition of external graphics designer (G) Selection of software and metrics (J) Learning to work with existing technologies for scheduling and publishing (AF) Sudden unexpected team member change (U) Outputs Extracting key teaching points from top PECARN articles into tweet (X) Tweet frequency established at the same time each week (3 times per week) (AH) Tweet visual structure: Intentional or strategic polls, emojis, bullet points, and multimedia such as images and videos (AA, AB, AC, C,

Gwendolyn C Hooley, Julia N Magana, Jason M Woods, Shyam Sivasankar, Lauren VonHoltz, Anita R Schmidt, Todd P Chang, Michelle Lin

JMIR Form Res 2025;9:e59481