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

Usman Mahmood1, Robik Shrestha2, David D B Bates3

  • 1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States.

Frontiers in Digital Health
|October 29, 2021
PubMed
Summary

This study introduces sanity tests to ensure artificial intelligence (AI) systems in radiology are effective for the right reasons. These tests help predict if an AI model will pass crucial validation before deployment.

Keywords:
artificial intelligencebiascomputed tomographydeep learningspurious correlationsvalidation

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