Detecting Spurious Correlations With Sanity Tests for Artificial Intelligence Guided Radiology Systems

Detecting Spurious Correlations With Sanity Tests for Artificial Intelligence Guided Radiology Systems

Artificial intelligence (AI) has been successful at solving numerous problems in machine perception. In radiology, AI systems are rapidly evolving and show progress in guiding treatment decisions, diagnosing, localizing disease on medical images, and improving radiologists' efficiency. A critic...

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Bibliographic Details
Main Authors: Usman Mahmood, Robik Shrestha, David D. B. Bates, Lorenzo Mannelli, Giuseppe Corrias, Yusuf Emre Erdi, Christopher Kanan
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Digital Health
Subjects:
deep learning
computed tomography
bias
validation
spurious correlations
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2021.671015/full

Internet

https://www.frontiersin.org/articles/10.3389/fdgth.2021.671015/full

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