Raphaël Attias

Raphaël Attias

Software Engineer @ Databricks || Visiting Postgraduate Researcher @ Harvard || MS in Data Science and BS in Mathematics from EPFL.

Towards Robust and Adaptable Diagnosis of Pneumonia from Chest X-ray Data

less than 1 minute read

Published:

Visual Intelligence, 90/100, 2021
Artificial intelligence (AI) researchers and radiologists have recently reported AI systems that accurately diagnose pneumonia from a chest X-Ray images using deep neural networks when trained on a sufficient large and homogeneous amount of labelled images. However, the robustness and adaptability of these systems, trained minimizing the empirical risk (ERM), remains far way. In fact, ERM have no way of discard environment specific features creating an alarming situation in which the systems appear accurate, but fail when tested in new hospitals.

Github Paper

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