Enhancing Accuracy of Operative Reports with Automated Artificial Intelligence Analysis of Surgical Video
Operative reports created by AI achieved higher accuracy than those written by surgeons. To our knowledge, this is the first report of automated video-based AI surgical documentation. Future studies are warranted to explore the potential for this novel tool to reduce documentation burden, improve operative report accuracy, promote surgical transparency, and decrease subjectivity in surgical documentation.
Authors
- Dotan Asselmann
- Abhinav Khanna
- Igor Frank
- Matthew K. Tollefson (ORCID: https://orcid.org/0000-0002-9960-4124)
- Stephen A. Boorjian (ORCID: https://orcid.org/0000-0002-8705-6650)
- Paras Shah (ORCID: https://orcid.org/0000-0003-3855-7747)
- Tamir Wolf
- Vidit Sharma (ORCID: https://orcid.org/0000-0002-4715-5451)
- Matthew T. Gettman
- Alexander Krueger (ORCID: https://orcid.org/0009-0004-5229-8264)
Institutions
- Mayo Clinic (US)
- WinnMed (US)
- Mayo Clinic in Arizona (US)
- Wolfram Research (United States) (US)
Publication Details
- Journal
- Journal of the American College of Surgeons
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1097/xcs.0000000000001352
- Citations
- 10
- Primary Topic
- Digital Imaging in Medicine
- Type
- article
- Field-Weighted Citation Impact
- 18.79