430: Artificial Intelligence and Image-Guided Surgery for Intraoperative Safety in Gynaecological Minimally Invasive Surgery

Sunday, November 15, 2026
11:00 am - 12:00 pm

Room: RM304

Chairs: Nicolas Bourdel

Faculty: Helder Ferreira Sr., Nicolas Bourdel, Juan Gilabert Estelles

Description: Intraoperative complications in gynaecological minimally invasive surgery (MIS) are frequently related to difficulties in anatomical recognition, loss of spatial orientation, and limited real-time decision support in complex surgical environments. Recent advances in artificial intelligence (AI) and image-guided surgery now offer new opportunities to improve intraoperative safety through enhanced visualization, anatomical mapping, and surgical navigation. This Surgical Tutorial will provide a practical and clinically oriented overview of how AI-assisted technologies and image-guided systems can be integrated into daily surgical practice to enhance intraoperative safety. The course will focus on real-time anatomical recognition, ureteral and vascular mapping, fluorescence-guided surgery, and augmented visualization techniques during complex pelvic procedures. Using high-quality narrated surgical videos and structured step-by-step analysis, participants will learn how these technologies can be applied during advanced hysterectomy, endometriosis surgery, and difficult pelvic dissections to reduce the risk of ureteral, vascular, and nerve injury. Emphasis will be placed on practical workflow integration, evidence-based application, and limitations of current systems.

Learning Objectives: At the end of this course, the participant will be able to:

1. Describe the principles of artificial intelligence and image-guided technologies applied to gynaecological minimally invasive surgery. Recognize critical pelvic anatomical structures using AI-assisted and fluorescence-based imaging techniques;
2. Apply image-guided strategies to enhance ureteral, vascular, and nerve safety during complex pelvic surgery. Integrate AI-supported intraoperative guidance into surgical workflows for endometriosis surgery and advanced hysterectomy; and
3. Identify current limitations, regulatory considerations, and future perspectives of artificial intelligence in intraoperative surgical safety.

COURSE OUTLINE

11:00 AM Welcome, Introduction and Course Overview

N. Bourdel

11:05 AM From Data to Decision: Integrating AI and Fluorescence Imaging Into Real-Time Surgical Workflow

H. Ferreira

11:20 AM Artificial Intelligence–Assisted Anatomical Recognition and Surgical Navigation in Gynaecological MIS

N. Bourdel

11:35 AM Image-Guided Strategies for Ureteral, Vascular, and Nerve Safety in Complex Pelvic Surgery

J. Gilabert Estelles

11:50 AM Discussion Questions & Answers

12:00 PM Adjourn