Capability of multimodal large language models to interpret pediatric radiological images.

Journal: Pediatric radiology
Published Date:

Abstract

BACKGROUND: There is a dearth of artificial intelligence (AI) development and research dedicated to pediatric radiology. The newest iterations of large language models (LLMs) like ChatGPT can process image and video input in addition to text. They are thus theoretically capable of providing impressions of input radiological images.

Authors

  • Thomas P Reith
    Department of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, 52242, USA. thomaspreith@gmail.com.
  • Donna M D'Alessandro
    Department of Pediatrics, University of Iowa Hospitals and Clinics, Iowa City, IA, 52242, USA.
  • Michael P D'Alessandro
    Department of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, 52242, USA.