Join us for a free, 90-minute, hands-on workshop built for healthcare researchers, medical data scientists, and AI engineers working with real-world imaging data. Whether you're analyzing CT scans, radiology images, or multi-modal patient datasets, this session will equip you with the tools to design robust, transparent, and insight-driven computer vision pipelines — powered by FiftyOne, the open-source platform for Visual AI.
By the end of the workshop, you'll be able to:
- Load and organize complex medical datasets (e.g., ARCADE, DeepLesion) with FiftyOne.
- Explore medical imaging data using embeddings, patches, and metadata filters.
- Curate balanced datasets and fine-tune models using Ultralytics YOLOv8 for tasks like stenosis detection.
- Analyze segment CT scans using MedSAM2.
- Analyze results from VLMs and foundation models like MedGEMMA, NVIDIA VISTA, and NVIDIA CRADIO.
- Evaluate model predictions and uncover failure cases using real-world clinical examples.
Why Attend?
This healthcare edition of our "Getting Started with FiftyOne" workshop connects foundational tools with real-world impact. Through curated datasets and clinical use cases, you'll see how to harness Visual AI responsibly, building data-centric pipelines that promote accuracy, interpretability, and trust in medical AI systems.
Prerequisites:
Basic knowledge of Python and computer vision is recommended. No prior experience in healthcare is required — just curiosity and a commitment to building meaningful AI.
All participants will receive access to workshop notebooks, code examples, and extended resources to continue their journey in healthcare AI.