Individualized Learning in Robotic Ileal pouch-anal anastomosis
The acquisition of skill in robotic IPAA is a highly individualized process, suggesting the traditional uniform learning curve model is insufficient for contemporary surgical education. These findings strongly advocate for a shift towards personalized training paradigms that incorporate deliberate practice, targeted feedback, and simulation to optimize learning and patient outcomes.
Authors
- Tommaso Violante (ORCID: https://orcid.org/0000-0003-4439-5254)
- Robert A. Vierkant (ORCID: https://orcid.org/0000-0001-6242-5221)
- David W. Larson (ORCID: https://orcid.org/0000-0001-9177-4586)
- Amit Merchea (ORCID: https://orcid.org/0000-0001-7880-7080)
- Kevin T. Behm (ORCID: https://orcid.org/0000-0003-2021-9424)
- Richard Sassun (ORCID: https://orcid.org/0000-0001-7649-4703)
- Nitin Mishra (ORCID: https://orcid.org/0000-0003-4450-7682)
- Davide Ferrari (ORCID: https://orcid.org/0000-0001-7084-6800)
Institutions
- Mayo Clinic (US)
- University of Milan (IT)
- WinnMed (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic Hospital (US)
- Mayo Clinic in Florida (US)
- ORSI Academy (BE)
Publication Details
- Journal
- Annals of Surgery
- Published
- 2025-08-12
- DOI
- https://doi.org/10.1097/sla.0000000000006907
- Citations
- 3
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 4.56