Join the Hernia Team from Carolinas Medical Center as they discuss applications of artificial intelligence in predicting outcomes for patients undergoing abdominal wall reconstruction. Emerging technologies are allowing us to understand hernia patients who are at risk for increased surgical complexity and postoperative complications – find out more in this Journal Review episode.
Hosts:
- Dr. Sullivan “Sully” Ayuso, Chief Resident, Carolinas Medical Center, @SAyusoMD
- Dr. Todd Heniford, Chief of GI & MIS, Carolinas Medical Center, @THeniford
- Dr. Vedra Augenstein, Professor of Surgery, Carolinas Medical Center, @VedraAugenstein
- Dr. Monica Polcz, Attending Surgeon, Baptist Health (FL)
Learning Objectives:
- Provide and introduction to artificial intelligence
- Develop an understanding of the applications of artificial intelligence in surgical outcome prediction for patients undergoing hernia repair
- Learn how risk stratification of hernia patients can affect their care
References:
- Elhage et al, Development and Validation of Image-Based Deep Learning Models to Predict Surgical Complexity and Complications in Abdominal Wall Reconstruction, JAMA Surgery, 2021
- Ayuso et al, Predicting Rare Outcomes in Abdominal Wall Reconstruction Using Image-Based Deep Learning Models, Surgery, 2023
- Hassan et al, Novel Machine Learning Approach for Prediction of Hernia Recurrence, Surgical Complication, and 30-Day Readmission after Abdominal Wall Reconstruction, JACS, 2022