Library
Breaking the Mold: Why Imaging Al Needs a New Playbook
The Road to Real-World Impact: A Conversation with Dr. Khan Siddiqui, CEO of HOPPR
Ted Schwab on “HOPPR's Approach to AI Education"
Melanie Traughber on "Translational Research and Use" (Part 1)
Getting Started with Fine-Tuning the HOPPR™ Marie Curie Chest Radiography Foundation Model
Ted Schwab on “Navigating Go-To-Market Success in Medical Imaging AI”
Melanie Traughber on "Translational Research and Use" (Part 2)
Khan Siddiqui on Building Healthcare That Holds Up Under Pressure
Fine Tuning Foundation Models for Medical Imaging
Learn how the HOPPR™ AI Development Platform enables healthcare teams to quickly and easily fine-tune foundation models on their own data. This whitepaper shows how the HOPPR™ MC Chest Radiography Foundation Model, fine-tuned on the VinDr-CXR dataset, achieved great results and demonstrates a scalable path to building compliant, high-performing AI in medical imaging.