Analyzing Ultrasound Data With Hugging Face
Key Takeaways:- Learn how to use Hugging Face tools for image analysis.
- Understand how to apply AI to ultrasound and other medical image data.
- Explore a real-world use case focused on improving fetal health outcomes through AI analysis.
Description
Medical imaging data, like ultrasounds, holds immense potential for improving patient outcomes—especially when combined with the power of AI. With tools from Hugging Face, data scientists and AI researchers can now apply state-of-the-art image analysis models to extract insights from complex visual data. This session provides a practical walkthrough for getting started with AI-powered image analysis, focused on real-world healthcare applications.
In this hands-on code-along webinar, Tanya Akumu, an AI Researcher at University of Barcelona, will demonstrate how to use Hugging Face tools to analyze ultrasound image data. You’ll learn how to apply AI models to image data, explore techniques for interpreting results, and work through a real-world use case focused on improving fetal health outcomes. This session is ideal for data scientists and AI researchers looking to apply their skills to impactful, healthcare-focused projects.
Presenter Bio
Tanya is a researcher in the AI in Medicine Lab at Universitat de Barcelona. Her work focuses on developing AI tools to improve access to antenatal care in developing countries. Previously, Tanya was an AI Research Engineer at IBM, and taught machine learning at Carnegie Mellon University.