Clinical Implementation of AI for Pulmonary Embolism Detection in over 30,000 CT Pulmonary Angiography Examinations

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Key Points

This research aims to evaluate the effectiveness of AI in detecting pulmonary embolism through CT pulmonary angiography.
Large-scale deployment of AI across over 30,000 CT pulmonary angiography examinations.
Comparison of AI detection results with radiologist interpretations.
Assessment of scenarios featuring discordances between AI and expert reviews.
AI demonstrated high concordance with radiologists, particularly in cases of discordance.
Expert oversight revealed complementary roles between radiologists and AI.
Specific scenarios highlighted divergences in detection capabilities between AI and radiologists.

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Shows AI effectively detects pulmonary embolism in over 30,000 CT scans, indicating its potential to support radiologists.

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Goldberg-Stein et al. (2026) studied this question.

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