GS III
General Session III
Faculty: Maurício S. Abrão, Scott W. Young, Alessandra Di Giovanni

Description: 4:15pm-5:15pm
4:15pm     MedTalk III: Artificial Intelligence and Endometriosis: Evolving the Diagnostic Landscape
                  Maurício S. Abrão, MD, PhD

Course Description: This MedTalk will explore how artificial intelligence (AI) is reshaping the diagnostic approach to endometriosis. With growing access to structured imaging data and clinical parameters, AI-driven tools offer new opportunities to support earlier identification, pattern recognition, and anatomical lesion mapping. This presentation will focus on practical examples of how machine learning is being integrated into real-world research and clinical workflows.
 

Rather than replacing existing methods, AI may serve as a complementary strategy to improve consistency, reduce diagnostic delay, and support individualized surgical planning.
 

Learning Objectives: After attending this session, participants will be able to: 1) Describe the emerging role of AI in supporting the diagnosis and evaluation of endometriosis; 2) Recognize how structured imaging and clinical data can be used to used to train AI models for lesion detection and anatomical mapping; and 3) Evaluate the potential and limitations of AI tools in complementing human expertise and improving reproducibility in clinical decision-making.
5:00pm    Debate: Now You See It. Now You Don’t! MRI Versus Ultrasound for Endometriosis Detection and Mapping
                 Suketu Mansuria, MD, Scott W. Young, MD, FSRU, and Alessandra di Giovanni, MD
                 Course Description: This debate will be an informative session for any surgeon who tackles endometriosis. It will review
                 the strengths and weaknesses of the two most used imaging modalities, MRI and Ultrasound, for the detection of
                 endometriosis and for assisting with surgical planning. Two international experts in the field of endometriosis imaging will
                 debate the pros and cons of each modality and help surgeons make the right choice for their patients.
                 Learning Objectives: After attending this session, the participant will be able to: 1) Analyze the difference between MRI
                 and Ultrasound performance and interpretation in the detection and preoperative planning for endometriosis surgery.
                 2) Explain how MRI and ultrasound can be synergistic for the accurate mapping of endometriosis; and 3) Identify the
                 strengths and weaknesses of each modality in endometriosis diagnosis.
5:15pm     Adjourn

Learning Objectives: At the end of this course, the participant will be able to:
Analyze the difference between MRI and Ultrasound performance and interpretation in the detection and preoperative planning for endometriosis surgery.
Explain how MRI and ultrasound can be synergistic for the accurate mapping of endometriosis.
Identify the strengths and weaknesses of each modality in endometriosis diagnosis.
Course Outline
4:15 PM Medtalk III: Artificial Intelligence and Endometriosis: Evolving the Diagnostic Landscape
M. Abrão
4:30 PM Welcome, Introduction and Course Overview
4:35 PM MRI for Endometriosis Detection and Mapping
S. Young
4:50 PM Ultrasound for Endometriosis Detection and Mapping
A. Di Giovanni
5:05 PM Discussion Questions & Answers
5:15 PM Adjourn