Understanding the Impact of AI Explanations on Radiology
Study Overview
This study explores how different types of AI explanations affect the ability of doctors to diagnose chest X-rays and their trust in AI. It aimed to find out if AI explanations help or hinder doctors in making decisions.
Research Details
The study was conducted from April 2022 to September 2022 and involved 220 physicians. They were given chest X-rays to analyze, followed by AI-generated advice. Two types of AI explanations were tested: local (feature-based) and global (prototype-based).
Key Findings
- Better Accuracy with Local Explanations: Doctors performed better with local AI explanations when the AI advice was correct.
- Increased Efficiency: Local explanations helped reduce the time spent considering AI advice.
- Trust in AI: Both radiologists and non-radiologists trusted local AI explanations more than global ones, regardless of the correctness of the advice.
Conclusion
The type of AI explanation influences how well doctors diagnose and their trust in AI, even if they are not aware of these effects.
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