Article
A 3-Minute Education on the False Positive Paradox Improves Trust Calibration in AI-Assisted Intracranial Aneurysm Detection: A Multinational Randomized Controlled Reader Study
2026-08-28
Abstract excerpt
<h4>Background: </h4> Even a highly accurate diagnostic test can yield more false-positive than true-positive findings in low-prevalence settings, which is known as the false positive paradox. Radiologists' unawareness of this paradox may foster automation bias, the tendency to excessively rely on AI outputs. Methods In this prospective, multinational, randomized controlled reader study (DRKS00038740), 34 readers...
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Identifiers and source
- Literature Corpus work
- ced4773a-692c-5374-95c2-b3086e8742c4
- DOI
- 10.64898/2026.08.25.26361324
