July 23 - Getting Started with FiftyOne for Healthcare Use Cases

When

Jul 23, 2025 at 9:00 - 10:30 AM Pacific

Where

Online. Register for the Zoom!

About the Workshop

Visual AI is revolutionizing healthcare by enabling more accurate diagnoses, streamlining medical workflows, and uncovering valuable insights across various imaging modalities. Yet, building trustworthy AI in healthcare demands more than powerful models — it requires clean, curated data, strong visualizations, and human-in-the-loop understanding.

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.