Denoising diffusion models | Innovating Health @StanfordMedicine
Denoising diffusion models | Innovating Health  @StanfordMedicine
Uploaded August 2025 | Updated September 2026, 2 weeks ago
When tools like DALL·E and Stable Diffusion began creating images from text, researchers asked: Could the same concept apply to generating clinically accurate chest X-rays? Their answer is RoentGen — an AI model that generates realistic X-rays from medical descriptions using a denoising diffusion process. These synthetic images fill data gaps, reduce bias, protect privacy, and support education and AI training. In this video, Stanford biomedical data scientist Akshay Chaudhari, PhD, explains how the process works.

Watch the full video: http://stan.md/41tc6rd

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Denoising diffusion models | Innovating Health

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