Deep learning-based algorithm for automatic detection of incidental pulmonary embolism on contrast-enhanced CT: a multicenter multivendor study.

Hana Farzaneh¹, Jacqueline Junn², Yasmina Chaibi³, Angela Ayobi³, Angelo Franciosini³, Marlene Scudeler³, Daniel Chow⁴, Brent Weinberg²

¹Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, United States.

²Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, 30322, United States.

³Avicenna AI, La Ciotat, 13600, France.

⁴Department of Radiology, University of California Irvine Medical Center, CA, 92868, United States.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Incidenal pulmonary embolism (iPE) is increasingly detected on contrast-enhanced computed tomography (CECT) performed for non-PE indications, reflecting the growing volume and complexity of cross-sectional imaging. These findings, although unexpected, carry important clinical implications and may be underreported due to the primary diagnostic focus of the study. Artificial intelligence…

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