Define your radiology image dataset

Our models generate high quality radiology images. Save time and money creating your training datasets.

• Generate annotated images. No radiologist required.
• Pick the range of anatomies and pathologies.
• Balance datasets by increasing the occurrence of rare cases.
• Discover edge cases where AI is most likely to fail.

Our images pass the Visual Turing Test. Radiologists can't distinguish between real images and our generated images.

We challenged radiologists to see if they could tell synthetically generated radiology images by 12Bit AI apart from real images. The results indicate that radiologists did no better than a coin toss, meaning that their accuracy was only around 50% at identifying real images.