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

Formative Evaluation of Digital Health Interventions (3347) Artificial Intelligence (2248) Generative Language Models Including ChatGPT (757) AI Language Models in Health Care (223) Responsible Health AI (65) Digital Health, Telehealth and e-Innovation in Clinical Settings (574) Clinical Communication, Electronic Consultation and Telehealth (787)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76097, first published .
Evaluating the Quality and Understandability of Radiology Report Summaries Generated by ChatGPT: Survey Study

Evaluating the Quality and Understandability of Radiology Report Summaries Generated by ChatGPT: Survey Study

Evaluating the Quality and Understandability of Radiology Report Summaries Generated by ChatGPT: Survey Study

Authors of this article:

Alexis Sunshine1 Author Orcid Image ;   Grace H Honce2 Author Orcid Image ;   Andrew L Callen1 Author Orcid Image ;   David A Zander1 Author Orcid Image ;   Jody L Tanabe1 Author Orcid Image ;   Samantha L Pisani Petrucci1 Author Orcid Image ;   Chen-Tan Lin3 Author Orcid Image ;   Justin M Honce1 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Pan J, Tyrtova E, Wiseman D, Park C, Hofstetter C. Patient Perceptions on Operative Reports Written by Surgeons versus Versions Simplified by Artificial Intelligence. World Neurosurgery 2025;204:124519 View
  2. Euler A, Pisarcik D, Kubik-Huch R. In Reply: Toward Multilingual, Patient-Centered AI Translations of Radiology Reports. Academic Radiology 2025 View
  3. Naidu J, Muthyala H, Naidu S, Muralidharan S, Baskaradoss V. Large Language Models in Radiologist–Patient Communication: A Narrative Review for Clinical Practice. Cureus 2026 View