Accuracy of a ChatGPT in Diagnosing Urologic Conditions From Cross-sectional Imaging
ChatGPT's effectiveness in medical imaging diagnostics is initially limited, yet it substantially benefits from the addition of user guidance. The study underscores AI's current shortcomings but also its considerable capacity to improve clinical operations when enriched with more data and expert direction.
Authors
- Matthew W. Cole
- Jeffrey J. Tosoian (ORCID: https://orcid.org/0000-0002-7614-9931)
- Bryn Launer (ORCID: https://orcid.org/0000-0002-3802-8709)
- Erin A. Cooke (ORCID: https://orcid.org/0000-0002-1074-4658)
- Renny Chew
- Daniel Joyce (ORCID: https://orcid.org/0000-0003-4365-8622)
- Amy N. Luckenbaugh (ORCID: https://orcid.org/0000-0001-6598-9372)
- Hunter S. Robinson (ORCID: https://orcid.org/0009-0008-9017-2557)
- Sam S. Chang (ORCID: https://orcid.org/0000-0003-2066-9468)
- Keavash Assani
- Mae Wimbiscus
Institutions
- Vanderbilt University (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Urology
- Published
- 2024-11-25
- DOI
- https://doi.org/10.1016/j.urology.2024.11.036
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Cancer Institute