Session
Hands-on AI for Smart Medical Imaging
In this hands-on session, we'll dive into AI-driven healthcare solutions by building a Chest X-ray analysis application using TensorFlow and Grad-CAM. You’ll walk through the entire process, learn how to harness deep learning models to detect potential abnormalities in medical images, enhancing diagnostic tools for healthcare professionals.
This workshop is designed to be interactive, so participants will have the opportunity to apply these techniques themselves and walk away with a better understanding of how AI can transform healthcare. And you're encouraged to bring your own laptop to join the session, because this session offers a complete, step-by-step experience - from setting up your Google Colab environment, preparing real-world datasets, training the model, to visualizing the results.
Whether you’re passionate about AI, healthcare, or both - this is your chance to explore the intersection of technology and medicine through code, models, and meaning.
Kim Nguyen
NTU, MSc. Smart Medicine and Health Informatics
Taipei, Taiwan
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