Health & Medicine

AI model generates realistic synthetic X-rays from medical descriptions

When tools like DALL·E and Stable Diffusion began creating images from text, researchers asked: Could the same approach generate clinically accurate chest X-rays?

Led by Curtis Langlotz, MD, PhD, professor of radiology and of biomedical informatics research, and Akshay Chaudhari, PhD, assistant professor of radiology and of biomedical data science, researchers have developed the open AI model RoentGen. | Stanford Medicine

For more information

This story was originally published by Stanford Medicine. 

Campus unit

Related topics

Share this story

Research Matters

Groundbreaking innovations that begin in Stanford labs flow freely into private industry to improve human well-being, fuel the economy, and strengthen American competitiveness.
Learn more