An Open-architecture AI Model for CPT Coding in Breast Surgery
Our open-architecture AI model demonstrated high performance in automating CPT code extraction, offering a scalable and transparent solution to improve surgical coding efficiency. Future work will assess whether AI can surpass human coders in accuracy and reliability.
Authors
- Mohamad El Moheb (ORCID: https://orcid.org/0000-0002-1897-2145)
- Melina R. Kibbe (ORCID: https://orcid.org/0000-0002-9049-4205)
- David R. Brenin (ORCID: https://orcid.org/0000-0003-2589-121X)
- Olivia Sears
- Koen Putman (ORCID: https://orcid.org/0000-0002-7235-3759)
- K. Craig Kent
- Allan Tsung (ORCID: https://orcid.org/0009-0002-3927-6429)
Institutions
- University of Virginia (US)
Publication Details
- Journal
- Annals of Surgery
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1097/sla.0000000000006793
- Citations
- 3
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 7.44