Sugarbaker Versus Keyhole Repair for Parastomal Hernia: Results of an Artificial Intelligence Large Language Model Post Hoc Analysis

Journal article

Andrew M. Fleming, Alisa L. Phillips, Justin A. Drake, Andrew J. Murphy, Danny Yakoub, David Shibata and Elizabeth H. Wood

Journal of Gastrointestinal Surgery, Vol.27(11)

2023

PMID: 37353657

Abstract

Artificial Intelligence

Systematic Review

Parastomal Hernia repair

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Collaboration types: Domestic collaboration
Citation topics: 6 Social Sciences; 6.185 Communication; 6.185.2790 Ethical and Trustworthy AI
Web Of Science research areas: Gastroenterology & Hepatology; Surgery
ESI research areas: Clinical Medicine

Title: Sugarbaker Versus Keyhole Repair for Parastomal Hernia: Results of an Artificial Intelligence Large Language Model Post Hoc Analysis
Creators: Andrew M. Fleming - St. Jude Children's Research Hospital
Alisa L. Phillips - University of Tennessee Health Science Center
Justin A. Drake - Moffitt Cancer Center
Andrew J. Murphy - St. Jude Children's Research Hospital
Danny Yakoub - Augusta University Health
David Shibata - University of Tennessee Health Science Center
Elizabeth H. Wood - University of Tennessee Health Science Center
Publication Details: Journal of Gastrointestinal Surgery, Vol.27(11)
Publisher: ELSEVIER SCIENCE INC; NEW YORK
Number of pages: 4
Comment: Cited by: 8
Academic Unit: Miller School of Medicine; UMMG Department of Surgery; UMMG Dept of Surgery - Div of Surgical Oncology
Resource Type: Journal article
PMID: 37353657
Record Identifier: 991033189990802976