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

Journal: JMIR AI
Published Date: Jun 30, 2025

Abstract

BACKGROUND: Artificial intelligence (AI) is transforming medical imaging, with large language models such as ChatGPT-4 emerging as potential tools for automated image interpretation. While AI-driven radiomics has shown promise in diagnostic imaging, the efficacy of ChatGPT-4 in liver ultrasound analysis remains largely unexamined.

Authors

  • Laith R Sultan
    Department of Radiology, University of Pennsyvlania, Philadelphia, PA, USA.
  • Laith Sultan
    Children's Hospital of Philadelphia, 734 Schuylkill Ave, Philadelphia, PA 19146, Philadelphia, US.
  • Shyam Sunder B Venkatakrishna
    Children's Hospital of Philadelphia, 734 Schuylkill Ave, Philadelphia, PA 19146, Philadelphia, US.
  • Sudha Anupindi
    Children's Hospital of Philadelphia, 734 Schuylkill Ave, Philadelphia, PA 19146, Philadelphia, US.
  • Sudha A Anupindi
    Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
  • Savvas Andronikou
    Department of Paediatric Radiology, The Children's Hospital of Philadelphia and University of Pennsylvania, Civic Centre Boulevard, Philadelphia, USA.
  • Michael Acord
    Children's Hospital of Philadelphia, 734 Schuylkill Ave, Philadelphia, PA 19146, Philadelphia, US.
  • Michael R Acord
    Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
  • Hansel J Otero
    Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Hansel Otero
    Children's Hospital of Philadelphia, 734 Schuylkill Ave, Philadelphia, PA 19146, Philadelphia, US.
  • Kassa Darge
    Children's Hospital of Philadelphia, 734 Schuylkill Ave, Philadelphia, PA 19146, Philadelphia, US.
  • Chandra M Sehgal
    Department of Radiology, University of Pennsyvlania, Philadelphia, PA, USA.
  • Chandra Sehgal
    University of Pennsylvania, Philadelphia, US.
  • John H Holmes
    Department of Biostatistics, Epidemiology, and Informatics, Institute for Biomedical Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104 USA.
  • John Holmes
    University of Pennsylvania, Philadelphia, PA, USA.

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