Announcing BRAX, a Brazilian chest x-ray dataset labelled with 14 radiological findings

We are pleased to announce publication of BRAX, a Brazilian chest x-ray dataset labelled with 14 radiological findings derived from Portuguese medical reports using NLP. BRAX contains 24,959 chest radiography exams and 40,967 images acquired in a large general Brazilian hospital.

Dr Eduardo Pontes Reis, co-author and Radiologist at Hospital Israelita Albert Einstein, notes the importance of datasets from underrepresented regions for evaluating how well clinical applications of deep learning can generalize to new populations and for reducing the lack of geographic diversity in publicly available chest x-ray data.