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±0.95 with p=0.01) with only a small increase in false positive predictions (0.04±1.06 with p=0.57). We observe the specific prediction tasks of Mass and Atelectasis appear to benefit the most compared to other tasks.
@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