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...

Повний опис

Бібліографічні деталі

Автори:	Zuhal Y. Hamd, Mohamed Abuzaid, Mohamed Alharbi, Nissren Tamam, Amal I. Alorainy, Lena Alrujaee, Najla Almutairi, Aljouharah Abdullah Alyagoub
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2026-04-01
Серія:	Tomography
Предмети:	diagnostic reference levels (DRLs) BMI-stratified dose optimization chest CT dosimetry artificial intelligence (AI) prediction models CTDIvol and DLP correlations
Онлайн доступ:	https://www.mdpi.com/2379-139X/12/5/61
Теги:	Додати тег Немає тегів, Будьте першим, хто поставить тег для цього запису!