AI in Medical Imaging – Insights and Innovations

This Data Bites talk will begin with an introduction by Sylvia Smit & Tillman Weyde, setting the stage for an exciting exploration of AI in medical imaging.

Featured Presentations

Jorge Rodriguez – Explainability Methods in Medical Imaging

Techniques for interpreting and visualizing AI model decisions in clinical imaging, making AI insights more transparent and trustworthy.

Yumi Heo – Skin Scan (Lite) and Skin Scan Plus (Pro): AI and the ABCD Rule

Overview of two AI-driven dermatology models implementing the ABCD rule for skin lesion assessment, demonstrating how AI enhances diagnostic accuracy.

Guy Thanaponpaiboon – Data Drift and Dataset Bias in Medical Imaging

Challenges of data drift and bias in medical imaging, and strategies such as color normalization to improve model reliability.

Anthony Victoros – System Architecture and Deployment

A deep dive into microservice-based system architecture, model implementation, and deployment using an AWS-based pipeline for scalable AI solutions.