Impact of Commercial Artificial Intelligence on Radiologist Reading Time for Pulmonary Nodule Evaluation at Chest CT
Implementation of commercial artificial intelligence–assisted pulmonary nodule assessment on chest CT scans reduced radiologist reporting time in a real-world clinical setting.
Authors
- Aad van der Lugt (ORCID: https://orcid.org/0000-0002-6159-2228)
- Joachim G.J.V. Aerts (ORCID: https://orcid.org/0000-0001-6662-2951)
- Jacob J. Visser (ORCID: https://orcid.org/0000-0001-9935-2097)
- Daniël Bos (ORCID: https://orcid.org/0000-0001-8979-2603)
- Arlette E. Odink
- Ties A. Mulders
- Jasika Paramasamy (ORCID: https://orcid.org/0009-0002-2069-1104)
Institutions
- Erasmus MC (NL)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- Radiology
- Published
- 2026-09-01
- DOI
- https://doi.org/10.1148/radiol.260484
- Primary Topic
- Radiology practices and education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- AstraZeneca