On the construction of a large-scale database of AI-assisted annotating lung ventilation-perfusion scintigraphy for pulmonary embolism (VQ4PEDB)

On the construction of a large-scale database of AI-assisted annotating lung ventilation-perfusion scintigraphy for pulmonary embolism (VQ4PEDB)

IntroductionVentilation-perfusion (V/Q) nuclear scintigraphy remains a vital diagnostic tool for assessing pulmonary embolism (PE) and other lung conditions. Interpretation of these images requires specific expertise which may benefit from recent advances in artificial intelligence (AI) to improve d...

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Bibliographic Details
Main Authors: Amir Jabbarpour, Eric Moulton, Sanaz Kaviani, Siraj Ghassel, Wanzhen Zeng, Ramin Akbarian, Anne Couture, Aubert Roy, Richard Liu, Yousif A. Lucinian, Nuha Hejji, Sukainah AlSulaiman, Farnaz Shirazi, Eugene Leung, Sierra Bonsall, Samir Arfin, Bruce G. Gray, Ran Klein
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Nuclear Medicine
Subjects:
database
image annotation
crowdsourcing
ventilation-perfusion scintigraphy
pulmonary embolism
Online Access:https://www.frontiersin.org/articles/10.3389/fnume.2025.1632112/full
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