Stanford researchers fine-tune Stable Diffusion to generate medical X-rays
Stanford AIMI researchers just showed that fine-tuning off-the-shelf Stable Diffusion can generate clinically accurate chest X-rays with recognizable lung abnormalities. Why it matters: Building medical imaging models usually requires massive proprietary datasets and prohibitive compute, but repurposing open-source diffusion models slashes the barrier to training AI for rare diseases.