Chairs: Azra Sadikovic

Faculty: Azra Sadikovic, Uchenna C. Acholonu Jr., Wendelly Vasquez

Description: This course will explore the latest advancements in fibroid diagnosis, treatment options and management strategies. We will discuss non-invasive imaging techniques for improved diagnosis, as well as the emerging role of artificial intelligence in enhancing imaging interpretation. Speakers will review the broad spectrum of current treatment modalities, from medical management to minimally invasive surgical approaches, and explore future treatment modalities, including potential impact of artificial intelligence (AI) on advancing diagnosis and therapeutic approaches.

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

1. Objective Review diagnostic tools and treatment approaches for managing fibroids
2. Objective Explore the role of artificial intelligence (AI) in shaping future treatments
3. Objective Examine emerging treatment options for fibroids

Course Outline

3:15 PM Welcome, Introduction and Course Overview

A. Sadikovic

3:20 PM Fibroid Treatment Options and Future Directions

A. Sadikovic

3:35 PM Artificial Intelligence in Surgical Management of Uterine Fbroids

U. Acholonu

3:50 PM Submucosal Fibroids: The Role of AI in Shaping Future Treatment of Intracavitary Lesions

W. Vasquez

4:05 PM Discussion Questions & Answers

3:15 PM Adjourn