SAGES surgical data science task force: enhancing surgical innovation, education and quality improvement through data science
Surg Endosc
.
2024 Jul;38(7):3489-3493.
doi: 10.1007/s00464-024-10921-9.
Epub 2024 Jun 3.
Authors
Amin Madani
1
,
Yao Liu
2
,
Aurora Pryor
3
,
Maria Altieri
4
,
Daniel A Hashimoto
4
,
Liane Feldman
5
Affiliations
1
Department of Surgery, University of Toronto, Toronto, ON, Canada. amin.madani@uhn.ca.
2
Department of Surgery, Brown University, Providence, RI, USA.
3
Department of Surgery, Northwell Health, New York, NY, USA.
4
Department of Surgery, Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA.
5
Department of Surgery, McGill University, Montreal, QC, Canada.
PMID:
38831213
DOI:
10.1007/s00464-024-10921-9
No abstract available
Keywords:
Artificial intelligence; Machine learning; Surgical data science.
MeSH terms
Advisory Committees*
Data Science*
General Surgery / education
Humans
Quality Improvement*