PANEL3-FIBROIDS
Review of Fibroid Management: Optimizing Diagnosis, Treatment, and Future Directions Shaped by Artificial Intelligence (AI)

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:
Use diagnostic tools and treatment approaches for managing fibroids
Explore the role of artificial intelligence (AI) in shaping future treatments
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 Fibroids
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
4:15 PM Adjourn