A second pair of eyes on every chest X-ray.
AI that reads a chest X-ray in seconds, flags five conditions and shows where it sees pleural effusion and pneumothorax, so the reader checks the right place first.
Inside AI Radiologist
Pick a module to watch it work. Every demo uses sample data, not real records.
A website sends the image in one call. Two models cooperate, one that finds the anatomy and one that finds the disease, and the system combines them into a result that can be checked.
Radiologists are scarce and every scan has to be read and checked. A reader benefits from a second pair of eyes that points to what might be there and where, and a bare yes/no label is hard to trust.
AI Radiologist analyses a chest X-ray, tells you which of five conditions it sees and, for two of them, names the regions involved and marks them on the image, using the zones radiologists use, so every result can be checked.
Capabilities
Flags cardiomegaly, aortic enlargement, pleural effusion, pneumothorax and tuberculosis, each as a clear yes or no.
For pleural effusion and pneumothorax, names the chest regions involved, such as the right lower zone, and marks them on the image.
Draws the lungs, heart and 36 chest regions, and returns annotated images with a structured result your software can use.
A research prototype and decision support only, not a medical device: every result is reviewed by a clinician.
Built for
Radiology teams, researchers and clinical partners evaluating AI-assisted chest X-ray reading.
We will walk you through it using your own use case, and tell you plainly what fits and what does not.
