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

Artificial Intelligence (4944) Imaging Informatics (496) Pulmonology, COPD (238) Lung Cancer (115) Medical imaging (200) Applications of AI (1064)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77967, first published .
3D illustration of lungs with glowing particles and a stopwatch, symbolizing lung health and time.

Measuring the Impact of AI on Report-Drafting Efficiency in Chest Computed Tomography Interpretation: Retrospective Analysis

Measuring the Impact of AI on Report-Drafting Efficiency in Chest Computed Tomography Interpretation: Retrospective Analysis

Authors of this article:

Weiqi Liu1, 2 Author Orcid Image ;   You Wu3 Author Orcid Image ;   Wei Yu4 Author Orcid Image ;   Mark J Bittle1 Author Orcid Image ;   Zhuozhao Zheng5 Author Orcid Image ;   Hadi Kharrazi1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Chow J, Patlas M. Large language models and large multimodal models in radiology: opportunities, challenges, and the path toward sustainable long-term clinical integration. Japanese Journal of Radiology 2026;44(9):1588 View
  2. Shu P, Lu K, Xie S, Lei Z, Fu Q. Current status, challenges and future development of self-service appointment platforms in hospital radiology departments in China: a narrative review. Frontiers in Digital Health 2026;8 View