Comparative Performance of Anthropic Claude and OpenAI GPT Models in Basic Radiological Imaging Tasks.

Journal: Journal of medical imaging and radiation oncology
Published Date: Apr 8, 2025

Abstract

BACKGROUND: Publicly available artificial intelligence (AI) Vision Language Models (VLMs) are constantly improving. The advent of vision capabilities on these models could enhance radiology workflows. Evaluating their performance in radiological image interpretation is vital to their potential integration into practice.

Authors

  • Cindy Nguyen
    Department of Medical Imaging and Radiation Sciences, Monash University, Clayton, Victoria, Australia.
  • Daniel Carrion
    Monash Imaging, Monash Health, Clayton, Victoria, Australia.
  • Mohamed K Badawy
    Department of Medical Imaging and Radiation Sciences, Monash University, Clayton, Victoria, Australia.

Keywords

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