AI-Driven Prediction of Chest CT Radiation Doses: Establishing BMI-Based Diagnostic Reference Levels and Patient–Factor Correlations for Machine-Learning Models

Background and aim: Chest CT is a major contributor to population radiation exposure. Conventional, pooled diagnostic reference levels (DRLs) do not account for inter-individual variability in body habitus and are typically used retrospectively. We evaluated dose behavior in adult chest CT, derived...

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Autori principali:	Zuhal Y. Hamd, Mohamed Abuzaid, Mohamed Alharbi, Nissren Tamam, Amal I. Alorainy, Lena Alrujaee, Najla Almutairi, Aljouharah Abdullah Alyagoub
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-04-01
Serie:	Tomography
Soggetti:	diagnostic reference levels (DRLs) BMI-stratified dose optimization chest CT dosimetry artificial intelligence (AI) prediction models CTDIvol and DLP correlations
Accesso online:	https://www.mdpi.com/2379-139X/12/5/61
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