Chairs: Amira Quevedo

Faculty: Amira Quevedo, Nash S. Moawad, Nicolas Bourdel

Description: This dynamic panel explores groundbreaking advancements in minimally invasive gynecology, focusing on improving outcomes for endometriosis patients through cutting-edge technology and research. Dr. Nash Moawad and Dr. Amira Quevedo will discuss their research in the development of AI-driven prediction models and quality improvement initiatives aimed at enhancing early diagnosis and timely referral to specialists, addressing a critical gap in endometriosis care. Experts will also present insights from multi-omic research, uncovering microbiome-based biomarkers to refine pain phenotyping and therapeutic approaches. Finally, Dr. Nicolas Bourdel highlights the potential of augmented surgical tools, to revolutionize precision and efficiency in minimally invasive procedures. Attendees will gain valuable perspectives on integrating these novel strategies into clinical practice, paving the way for personalized care and transformative advancements in gynecologic surgery.
 

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

1. Objective Demonstrate AI Applications: Explain how AI models can be harmonized to improve early diagnosis and specialist referral for endometriosis, with examples of measurable quality improvement outcomes
2. Objective Define Precision Phenotyping: Present key findings from multi-omic research that identify biomarkers linked to endometriosis pain phenotypes and their clinical relevance
3. Objective Assess Surgical Innovation: Evaluate the impact of augmented surgical technology on surgical precision and efficiency in minimally invasive gynecology through case studies and performance metrics

Course Outline

2:00 PM Welcome, Introduction and Course Overview

A. Quevedo

2:05 PM AI-Driven Solutions for Early Diagnosis and Expert Referral in Endometriosis Care

A. Quevedo

2:20 PM Unveiling Endometriosis Pain Phenotypes: Insights from Multi-Omic Research

N. Moawad

2:35 PM Revolutionizing Precision and Efficiency With Augmented Reality Technology in Minimally Invasive Gynecologic Surgery

N. Bourdel

2:50 PM Discussion Questions & Answers

2:00 PM Adjourn