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The Effect of Counterfactuals on Reading Chest X-rays

Image and Video Processing 2023-04-04 v1 Artificial Intelligence Computer Vision and Pattern Recognition Human-Computer Interaction Machine Learning

Abstract

This study evaluates the effect of counterfactual explanations on the interpretation of chest X-rays. We conduct a reader study with two radiologists assessing 240 chest X-ray predictions to rate their confidence that the model's prediction is correct using a 5 point scale. Half of the predictions are false positives. Each prediction is explained twice, once using traditional attribution methods and once with a counterfactual explanation. The overall results indicate that counterfactual explanations allow a radiologist to have more confidence in true positive predictions compared to traditional approaches (0.15±\pm0.95 with p=0.01) with only a small increase in false positive predictions (0.04±\pm1.06 with p=0.57). We observe the specific prediction tasks of Mass and Atelectasis appear to benefit the most compared to other tasks.

Keywords

Cite

@article{arxiv.2304.00487,
  title  = {The Effect of Counterfactuals on Reading Chest X-rays},
  author = {Joseph Paul Cohen and Rupert Brooks and Sovann En and Evan Zucker and Anuj Pareek and Matthew Lungren and Akshay Chaudhari},
  journal= {arXiv preprint arXiv:2304.00487},
  year   = {2023}
}

Comments

Abstract submitted to CVPR XAI4CV 2023 based on longer version: arXiv:2102.09475