Chairs: Alan Lam

Faculty: Alan Lam, Shin Takenaka, . TBD

Description: This course offers an exciting exploration of how the fusion of AI and surgery is revolutionizing modern healthcare. It provides a comprehensive review of the collaboration between artificial intelligence (AI) and surgical practices, demonstrating how AI is enhancing precision, improving decision-making, and offering real-time assistance during procedures. Focusing on AI technologies applied in gynecological surgery, machine learning models for tissue identification, the course examines the benefits and challenges of integrating AI into clinical settings. Attendees will gain insights into current advancements, including AI's role in minimally invasive surgery, and its potential to revolutionize patient outcomes. This course also discusses regulatory challenges and future directions of AI in surgery, preparing medical professionals to adopt these innovations responsibly. Through case studies and expert presentations, participants will leave with a deeper understanding of how the fusion of surgery and AI can shape the future of healthcare.

 

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

1. Objective Understand the impact of artificial intelligence (AI) on gynecological surgeries
2. Objective Analyze the benefits and challenges of integrating AI into clinical practice
3. Objective Examine the regulatory challenges and future directions of AI in surgery

Course Outline

3:15 PM Welcome, Introduction and Course Overview

A. Lam

3:20 PM The Co-Evolution of Digital Intelligence and Gynecological Surgery: Redefining the Future of Medicine

A. Lam

3:35 PM Development of an AI-Powered Automated Recognition Model for Pelvic Organs in Gynecologic Surgery: Insights from Clinical Experience

S. Takenaka

3:50 PM Digital Surgery Revolution: The Future of Diagnosis and Navigation with AI and Extended Reality

TBD

4:05 PM Discussion Questions & Answers

3:15 PM Adjourn