Creation of an artificial intelligence model for calculating gestational age and predicting the risk of birth of a small fetus based on dynamic analysis of ultrasound fetometry

Low birth weight remains one of the key causes of perinatal morbidity and mortality. Timely detection of intrauterine growth disorders requires tools capable of integrating multidimensional ultrasound and clinical data of a pregnant woman.The purpose of the study was to develop and verify a machine...

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Principais autores:	E. M. Iutinsky, L. M. Zheleznov, S. A. Dvoryansky
Formato:	Artigo
Idioma:	Russo
Publicado em:	Russian Academy of Sciences, Siberian Branch Publishing House 2026-01-01
coleção:	Сибирский научный медицинский журнал
Assuntos:	low birth weight ultrasound fetometry machine learning gradient boosting transformer neural network pregnancy risk prediction intrauterine growth retardation maternal clinical factors
Acesso em linha:	https://sibmed.elpub.ru/jour/article/view/2600
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