Care to Explain? AI Explanation Types Differentially Impact Chest Radiograph Diagnostic Performance and Physician Trust in AI
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@article{prinster2024care,
title = {Care to explain? AI explanation types differentially impact chest radiograph diagnostic performance and physician trust in AI},
author = {Prinster, Drew and Mahmood, Amama and Saria, Suchi and Jeudy, Jean and Lin, Cheng Ting and Yi, Paul H and Huang, Chien-Ming},
journal = {Radiology},
volume = {313},
number = {2},
pages = {e233261},
year = {2024},
publisher = {Radiological Society of North America},
url = {https://pubs.rsna.org/doi/abs/10.1148/radiol.233261}
}
Informal Summary
In this multisite prospective study of simulated artificial intelligence (AI)–assisted chest radiograph diagnosis involving 220 physicians, AI explanation type (local vs global) differentially impacted physician diagnostic performance and trust in AI advice, even if physicians were not aware of these effects.