Machine learning in prenatal MRI predicts postnatal ventricular abnormalities in fetuses with isolated ventriculomegaly.
Xue ChenDaqiang XuXiaowen GuZhisen LiYisha ZhangPeng WuZhou HuangJibin ZhangYonggang LiPublished in: European radiology (2024)
Fetal ventriculomegaly is a dynamic condition that affects postnatal neurodevelopment. Machine learning and subcortical-radiomics can predict postnatal alterations in the lateral ventricle. Machine learning, applied to single-fetal MRI, might reduce required antenatal testing.
Keyphrases
- machine learning
- contrast enhanced
- preterm infants
- pregnant women
- artificial intelligence
- magnetic resonance imaging
- big data
- diffusion weighted imaging
- heart failure
- deep learning
- left ventricular
- pulmonary artery
- mitral valve
- pulmonary hypertension
- minimally invasive
- lymph node metastasis
- preterm birth
- coronary artery
- gestational age
- atrial fibrillation
- catheter ablation