Interactive Session: AI Applications in Endourology That Re-Shape Practice

Friday, October 31, 2025

13:15 - 14:45 GMT+0

Co-Chair(s)

Kyung Jin Oh

Professor
Chonnam National University, Republic of Korea
Gio Cacciamani

Urologist
USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, United States

At the end of this session, attendees should be able to:

Identify practical applications of artificial intelligence in outpatient endourology settings.
Evaluate the role of AI in redefining treatment pathways for urinary stone disease.
Review the use of AI and machine learning into patient counseling and surgical training in endourology.
Assess the potential of AI in predicting stone composition and preventing recurrence.

13:15 - 13:25 GMT+0

Practical Applications in Outpatient Clinic
13:25 - 13:35 GMT+0

AI-Powered Endourology: Redefining Treatment Pathways in Stone
Speaker: Sung Yong Cho – Seoul National University
13:35 - 13:45 GMT+0

AI in Patient Counselling for Endourology
Speaker: Amelia Pietropaolo – University Hospital SOuthampton
13:45 - 13:55 GMT+0

Machine Learning and Virtual Reality in Endourology – Is It the Way Forward?
Speaker: Amitabh Kumar Sinha – Sheila urology and laparoscopy centre
13:55 - 14:05 GMT+0

Role of AI in Predicting Stone Composition and How Effective Will It Be in Prevention of Recurrence
Speaker: Petros Sountoulides – Aristotle University of Thessaloniki
14:05 - 14:20 GMT+0

Critical Scenarios
Speaker: Abhishek Singh, Consultant Urologist – Muljibhai Patel Urological Hospital
14:20 - 14:45 GMT+0

Discussion and Q&A
Moderator: Kyung Jin Oh – Chonnam National University