If You Know Them, You Avoid Them: The Imperative Need to Improve the Narrative Regarding Perioperative Adverse Events

por Eppler, Michael, Sayegh, Aref S., Goldenberg, Mitchell, Sholklapper, Tamir, Hemal, Sij, Cacciamani, Giovanni E.
Publicado 2022

Multi-Modal Deep Learning for Assessing Surgeon Technical Skill

por Kasa, Kevin, Burns, David, Goldenberg, Mitchell G., Selim, Omar, Whyne, Cari, Hardisty, Michael
Publicado 2022

Strategies for Improving the Standardization of Perioperative Adverse Events in Surgery and Anesthesiology: “The Long Road from Assessment to Collection, Grading and Reporting”

por Sayegh, Aref S., Eppler, Michael, Ballon, Jorge, Hemal, Sij, Goldenberg, Mitchell, Sotelo, Rene, Cacciamani, Giovanni E.
Publicado 2022

Evaluation of a Virtual Reality Percutaneous Nephrolithotomy (PCNL) Surgical Simulator

por Sainsbury, Ben, Łącki, Maciej, Shahait, Mohammed, Goldenberg, Mitchell, Baghdadi, Amir, Cavuoto, Lora, Ren, Jing, Green, Mark, Lee, Jason, Averch, Timothy D., Rossa, Carlos
Publicado 2020

Automated Capture of Intraoperative Adverse Events Using Artificial Intelligence: A Systematic Review and Meta-Analysis

por Eppler, Michael B., Sayegh, Aref S., Maas, Marissa, Venkat, Abhishek, Hemal, Sij, Desai, Mihir M., Hung, Andrew J., Grantcharov, Teodor, Cacciamani, Giovanni E., Goldenberg, Mitchell G.
Publicado 2023

Development of a Classification System for Live Surgical Feedback

por Wong, Elyssa Y., Chu, Timothy N., Ma, Runzhuo, Dalieh, Istabraq S., Yang, Cherine H., Ramaswamy, Ashwin, Medina, Luis G., Kocielnik, Rafal, Ladi-Seyedian, Seyedeh-Sanam, Shtulman, Andrew, Cen, Steven Y., Goldenberg, Mitchell G., Hung, Andrew J.
Publicado 2023