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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Autores principales: 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
Formato: Artículo
Lenguaje:inglés
Publicado: Frontiers Media S.A. 2025-07-01
Colección:Frontiers in Nuclear Medicine
Materias:
database
image annotation
crowdsourcing
ventilation-perfusion scintigraphy
pulmonary embolism
Acceso en línea:https://www.frontiersin.org/articles/10.3389/fnume.2025.1632112/full
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https://www.frontiersin.org/articles/10.3389/fnume.2025.1632112/full

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