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SAGES 2026 Annual Meeting Emerging Technology Session

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875 posters, 25 topics, 3,440 authors, 1,061 institutions

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SAGES 2026 Annual Meeting Emerging Technology Session

March 25-28, 2026 | Tampa, FL, USA

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Showing 23 results for "Artificial Intelligence".

Thumbnail for TALKING RISK; CHATGPT-ASSISTED RISK STRATIFICATION IN ROBOTIC RETRORECTUS (ETEP) HERNIA REPAIR: FEASIBILITY AND EARLY OUTCOME

P158

TALKING RISK; CHATGPT-ASSISTED RISK STRATIFICATION IN ROBOTIC RETRORECTUS (ETEP) HERNIA REPAIR: FEASIBILITY AND EARLY OUTCOME

Carina McGuire, Sara Saymuah, Griffin Feinberg, Marcoandrea Giorgi

The Miriam Hospital, Comprehensive Hernia Center, Brown University Warren Alpert School of Medicine

Poster Presenter: Carina McGuire

Thumbnail for Video-derived instrument-use diversity as an behavioral marker of intraoperative hemostasis

P159

Video-derived instrument-use diversity as an behavioral marker of intraoperative hemostasis

Zixin Chen, He Cai, Jing Zhang, Sirui Peng, Junjie Zhang, Ran Hu, Kan Wang, Lingli Wu, Shangdi Wu, Dian Qin, Bing Peng, Xin Wang

West China Hospital of Sichuan University

Poster Presenter: Zixin Chen

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Thumbnail for Seeing Clearly: Retrospective AI-Based Detection of Lens Contamination in Minimally Invasive Surgery

P160

Seeing Clearly: Retrospective AI-Based Detection of Lens Contamination in Minimally Invasive Surgery

Faiza Quadri, Eshan Sayani, Rishit Yokananth, Sriya Dommaraju, Kathleen Schmidt, Maansi Srinivasan, Lisa Du, Tony Zhu, John Uecker, Christopher Idelson

University of Texas at Austin, Texas A&M School of Medicine, ClearCam Inc., Texas A&M University School of Engineering Medicine

Poster Presenter: John Uecker

Thumbnail for Accurate Deep Learning Detection of Common Bile Duct Stones Using Segmented Intraoperative Cholangiograms

P161

Accurate Deep Learning Detection of Common Bile Duct Stones Using Segmented Intraoperative Cholangiograms

Matthew B Bloom, Sayeh Mirshojae, Yimeng He, Xiuzhen Huang, Edward Phillps

Cedars Sinai Medical Center, Cedars Sinai Medical Center

Poster Presenter: Matthew B Bloom

Thumbnail for Artificial Intelligence-Enhanced Precision in Endoscopic Bariatric Surgery: Emerging Frontiers in Gastrointestinal Surgery and Computational Medicine

P162

Artificial Intelligence-Enhanced Precision in Endoscopic Bariatric Surgery: Emerging Frontiers in Gastrointestinal Surgery and Computational Medicine

Rida Shakeel, Sohaib Aftab Ahmad Chaudhry, Abdul M Khuram, Rameesha Zubair, Hakim Wazir, Immad Muhammad Usman, Shahana Rehman

University Of Connecticut Health Department of Internal Medicine, Dow Medical College, ABWA Medical College, University of Connecticut Health, Lady Reading Hospital Peshawar, Pakistan

Poster Presenter: Abdul M Khuram

Thumbnail for Artificial Intelligence and Augmented Reality in Surgery: Current Integration and Future Prospects for Surgical Education in Romania and Eastern Europe

P163

Artificial Intelligence and Augmented Reality in Surgery: Current Integration and Future Prospects for Surgical Education in Romania and Eastern Europe

George E Dejeu, Marius Adrian Maghiar, Ioana L Dejeu, Octavian Maghiar, Paula Maghiar, Teodor A Maghiar, Laura Maghiar

Spitalul Pelican Oradea, RO; University of Oradea, University of Oradea, Spitalul Pelican Oradea, RO; Univeristy of Oradea, Spitalul Pelican Oradea, University of Oradea

Poster Presenter: George Dejeu

Thumbnail for Developing a Multiparametric OPI-based Proficiency Score for Robotic Inguinal Hernia Repair

P164

Developing a Multiparametric OPI-based Proficiency Score for Robotic Inguinal Hernia Repair

Mattia Ballo, Emaad Iqbal, Maria C Morais, Aditya A Godbole, Andrew Yee, Filippo Filicori

Lenox Hill Hospital- Northwell Health, Intuitive Surgical

Poster Presenter: Emaad Iqbal

Thumbnail for Real-Time AI-Based Smoke Removal in Laparoscopic Surgery: First In-Vivo Feasibility Study

P165

Real-Time AI-Based Smoke Removal in Laparoscopic Surgery: First In-Vivo Feasibility Study

Wayne Poll

Applied Sciences, Mgmt., LLC.

Poster Presenter: Wayne Poll

Thumbnail for Development and validation of an artificial intelligence algorithm to measure the gastro-jejunal anastomosis diameter during esophagogastroduodenoscopy in post-Roux-en-Y gastric bypass patients.

P166

Development and validation of an artificial intelligence algorithm to measure the gastro-jejunal anastomosis diameter during esophagogastroduodenoscopy in post-Roux-en-Y gastric bypass patients.

Daniel Tham, Keira Prabhu, Anirudh Gangadhar, Amin Madani, Allan Okrainec, Pouria Mashouri, Timothy Jackson, Michael Brudno, Andras B Fecso

Toronto Western Hospital, University Health Network

Poster Presenter: Daniel Tham

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Topics Sessions

(41)Abdominal Wall Hernias(98)Acute Care(55)Artificial Intelligence(28)Bariatric(134)Biliary(57)Colorectal(92)Diversity and Inclusion(4)Education / Simulation(42)Ergonomics(5)

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