1st workshop on Medical Video AI Assessment and Uncertainty Quantification

Workshop Schedule

Medical Video AI Assessment and Uncertainty Quantification: Bridging Research and Practice
Date: April 9, 2026
Location: Room 16, ExCel London

Program Overview

Below is the planned program for the workshop. Minor timing updates may occur; please check back closer to the event date.

Session 1 — Medical Video AI Assessment (Moderator: Dr. Feng Yang, Maria Zuluaga)

Time Title Speaker
08:00–08:05 AM Introduction Dr. Feng Yang, Dr. Maria A. Zuluaga
08:05–08:55 AM Keynote 1: Regulatory Science Tools for Accelerating AI Model Development and Evaluation Dr. Feng Yang (US. FDA)
8:55AM–9:55PM
  • Oral presentations:
  • Paper 1: Assessing Polyp Detection Delay Using Tracklets
  • Paper 2: Beyond AUROC: Evaluating Temporal Stability, False Positive Load, and Uncertainty Calibration in Capsule Endoscopy Video AI
  • Paper 3: Uncertainty-Quantified and Explainable Age- and Sex-Aware Contrastive Learning for Knee Osteoarthritis Classification
    • Paper 1: Samuel Gussman-Toh
    • Paper 2: Krispian Lawrence
    • Paper 3: Ahmad P. Tafti
    9:55–10:10 AM Coffee Break
    10:10–11:00 AM Keynote 2:Live AI in Endoscopy: Real-Time Performance, Uncerainty, and Clinical Impact Dr. Nhan Ngo Dinh (President of COSMO MedTech AI)
    11:00–11:50 AM Keynote 3: Uncertainty Quantification in Medical AI: From Aleatoric to Epistemic Dr. Eyke Hüllermeier (LMU Munich)
    11:50AM–1:00 PM Lunch time

    Session 2 — Panel Discussion (Moderator: Dr. Feng Yang)

    Time Title Authors
    1:00–2:00 PM Panel Discussion: From Challenges to Innovation: Advancing Medical AI from Research to Real-World Impact
  • Prof. Dinggang Shen: Professor and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging Intelligence
  • Dr. Nhan Ngo Dinh: Presidente at Cosmo MedTech AI
  • Dr. Eyke Hüllermeier: Professor at the Institute of Informatics at LMU Munich
  • EngD. Shakith Fernando: Senior Medical AI Architect, Philips
  • Dr. Hongxu Yang: AI Scientist at GE Healthcare
  • Dr. Maria A. Zuluaga: Professor at EURECOM, France