Deep learning algorithm for the detection of critical findings on chest CT images.
The goal of our project is to develop, validate and test a deep learning algorithm that detects critical findings on chest CT images and helps reorder radiologists' worklists based on these findings. Our specific goals are to detect acute findings including pneumothorax, aortic dissection, pneumonia and pulmonary thromboembolism as red flags; and chronic findings including pulmonary nodules, COOP signs, or interstitial disease, among others, as yellow flags.
Mauricio Farez (CEO, Entelai)
Diego Fernandez Slezak (CTO, Entelai)
Joaquin Seia (Data Scientist, Entelai)