A Black female radiologist analyzes a chest X-ray on high-resolution monitors in a dark reading room lit by blue screen light.

AI for medical imaging · Brazil

The eye that anticipates diagnosis

Artificial intelligence that supports radiologists in reading medical images. Faster reporting queues, with data that represents the Brazilian population.

Active moduleChest X-ray
Clinical decisionAlways the physician
Training dataBrazilian population

Few radiologists, many exams: reports take time and the queue grows.

203 millionpeople live in Brazil (2022 Census, IBGE). Not all of them have a specialist nearby.
55.5%of the population identifies as Black or mixed-race (2022 Census, IBGE). Medical AI needs to learn from this diversity.
100%of clinical decisions stay with the physician. AI supports, it does not replace.

How Oju works

  1. Exam upload

    The exam arrives securely and anonymized, straight from the hospital or clinic system.

  2. AI analysis

    The model identifies regions of attention and highlights them on the image, quickly.

  3. Physician-backed report

    The radiologist reviews the markings, decides and signs the report. The decision is always theirs.

Oju is a clinical decision-support tool.

More time for what only physicians can do

Speed

Prioritize what matters

Exams with flagged findings can move up the queue so the physician reviews them first.

Accuracy

A second look

AI highlights regions of attention to help reduce what goes unnoticed. The physician confirms every finding.

Representation

Data that represents us

A model built and evaluated with the diversity of the Brazilian population, to work well for everyone.

Book a demo

Tell us about your institution and we will get back to you.