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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