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

Research Letter (37) Chatbots and Conversational Agents (531) Generative Language Models Including ChatGPT (311) Imaging Informatics (193) Medical imaging (28) Artificial Intelligence (1371) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54948, first published .
Integrating Text and Image Analysis: Exploring GPT-4V’s Capabilities in Advanced Radiological Applications Across Subspecialties

Integrating Text and Image Analysis: Exploring GPT-4V’s Capabilities in Advanced Radiological Applications Across Subspecialties

Integrating Text and Image Analysis: Exploring GPT-4V’s Capabilities in Advanced Radiological Applications Across Subspecialties

Authors of this article:

Felix Busch1 Author Orcid Image ;   Tianyu Han2 Author Orcid Image ;   Marcus R Makowski3 Author Orcid Image ;   Daniel Truhn2 Author Orcid Image ;   Keno K Bressem4 Author Orcid Image ;   Lisa Adams3 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Wu W, Guo Y, Li Q, Jia C. Exploring the potential of large language models in identifying metabolic dysfunction‐associated steatotic liver disease: A comparative study of non‐invasive tests and artificial intelligence‐generated responses. Liver International 2024 View