Accessibility settings

This paper is in the following e-collection/theme issue:

Applications of AI (1142) Clinical Informatics (2436) New Methods (1889) Decision Support for Health Professionals (2402) Imaging Informatics (526) Machine Learning (3388) Artificial Intelligence (5118) Generative Language Models Including ChatGPT (1684)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68144, first published .
Futuristic medical scan of a fatty liver on a holographic display with a doctor and robot

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

Authors of this article:

Laith R Sultan1 Author Orcid Image ;   Shyam Sunder B Venkatakrishna1 Author Orcid Image ;   Sudha A Anupindi1 Author Orcid Image ;   Savvas Andronikou1 Author Orcid Image ;   Michael R Acord1 Author Orcid Image ;   Hansel J Otero1 Author Orcid Image ;   Kassa Darge1 Author Orcid Image ;   Chandra M Sehgal2 Author Orcid Image ;   John H Holmes3 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

Journals

  1. Elmahdy M, Ali R, Khanna T, Gnanapandithan K, Kashani D. Artificial Intelligence in Cirrhosis: Diagnosis, Screening, and Evaluation for Liver Transplantation. F1000Research 2025;14:844 View
  2. Li X, Capuano E, de Korte C, Smeets P. Monitoring in vitro gastric bolus digestion with ultrasound. Food & Function 2026;17(11):5081 View
  3. Dunstatter D. Beyond Accuracy—Artificial Intelligence as a Guided Comparison Tool in Sonography Education: A Mixed-Methods Study. Journal of Diagnostic Medical Sonography 2026 View
  4. Tarasiuk B, Solodushchenko V, Globa M, Dykan I, Babenko V. Multiparametric ultrasound phenotyping of paediatric liver cirrhosis for future artificial intelligence models. Український радіологічний та онкологічний журнал 2026;34(3):313 View