Use and Usefulness of Risk Prediction Tools in Urologic Surgery: Current State and Path Forward
Despite their wide availability, RPTs remain limited in their use and helpfulness. This reflects both the intuitive nature of surgical decision-making and implementation challenges. For AI to reach its promise and improve surgical care and outcomes, both types of barriers will need to be addressed.
Authors
- William H. Meeks (ORCID: https://orcid.org/0000-0003-1853-7466)
- Randall Teal
- Maihan B. Vu (ORCID: https://orcid.org/0000-0002-7944-4100)
- Raymond Fang (ORCID: https://orcid.org/0000-0002-0647-8537)
- Hillary Heiling (ORCID: https://orcid.org/0000-0003-2654-3487)
- Alex H. S. Harris (ORCID: https://orcid.org/0000-0001-7267-3077)
- Antonia V. Bennett (ORCID: https://orcid.org/0000-0002-8968-4511)
- Susan J. Blalock (ORCID: https://orcid.org/0000-0002-8750-3385)
- Allison Mary Deal (ORCID: https://orcid.org/0000-0003-3526-3938)
- Benjamin Borgert
- David Gotz (ORCID: https://orcid.org/0000-0002-6424-7374)
- Ethan Basch (ORCID: https://orcid.org/0000-0003-3813-9318)
- Elizabeth M. Nazzal (ORCID: https://orcid.org/0000-0002-6942-9003)
- Matthew E. Nielsen
- Hung-Jui Tan
Institutions
- University of North Carolina at Chapel Hill (US)
- American Urological Association (US)
- Dana-Farber Cancer Institute (US)
- Department of Health (ZA)
- Statistical Service (CY)
- UNC Lineberger Comprehensive Cancer Center
- Stanford University (US)
Publication Details
- Journal
- Urology Practice
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1097/upj.0000000000000808
- Citations
- 1
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.39