AIMC Topic: Prenatal Diagnosis

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Deep-learning model for prenatal congenital heart disease screening generalizes to community setting and outperforms clinical detection.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Jan 1, 2024
OBJECTIVES: Despite nearly universal prenatal ultrasound screening programs, congenital heart defects (CHD) are still missed, which may result in severe morbidity or even death. Deep machine learning (DL) can automate image recognition from ultrasoun...
Infant, Newborn Humans Sensitivity and Specificity Pregnancy Female Ultrasonography, Prenatal Deep Learning Heart Defects, Congenital Prenatal Diagnosis
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Development and clinical validation of real-time artificial intelligence diagnostic companion for fetal ultrasound examination.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Sep 1, 2023
OBJECTIVE: Prenatal diagnosis of a rare disease on ultrasound relies on a physician's ability to remember an intractable amount of knowledge. We developed a real-time decision support system (DSS) that suggests, at each step of the examination, the n...
Humans Ultrasonography, Prenatal Rare Diseases Prenatal Diagnosis Pregnancy Female Artificial Intelligence Retrospective Studies
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A machine learning technology to improve the risk of non-invasive prenatal tests.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2022
BACKGROUND: Timely and accurate diagnosis of genetic diseases can lead to proper action and prevention of irreparable events.
Female Pregnancy Trimester, First Technology Pregnancy Trisomy 18 Syndrome Prenatal Diagnosis Trisomy 13 Syndrome Humans Machine Learning
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Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning.

IEEE transactions on medical imaging Jul 1, 2018
Convolutional neural networks (CNNs) have achieved state-of-the-art performance for automatic medical image segmentation. However, they have not demonstrated sufficiently accurate and robust results for clinical use. In addition, they are limited by ...
Fetus Prenatal Diagnosis Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Deep Learning Female Humans Brain Brain Neoplasms Pregnancy
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Use of Fetal Magnetic Resonance Image Analysis and Machine Learning to Predict the Need for Postnatal Cerebrospinal Fluid Diversion in Fetal Ventriculomegaly.

JAMA pediatrics Feb 1, 2018
IMPORTANCE: Which children with fetal ventriculomegaly, or enlargement of the cerebral ventricles in utero, will develop hydrocephalus requiring treatment after birth is unclear.
Infant, Newborn Case-Control Studies Magnetic Resonance Imaging Predictive Value of Tests Pregnancy Retrospective Studies Prenatal Diagnosis Female Humans Hydrocephalus Machine Learning Image Interpretation, Computer-Assisted
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Diagnostic value of CA 19-9 in pregnancies complicated by spinal neural tube defects: a preliminary study.

Ginekologia polska Jan 1, 2016
OBJECTIVES: Various physiological and pathological conditions can induce significant variations in plasma concentrations of tumor markers, such as CA 19-9, which is present in the serum and amniotic fluid of pregnant women. Herein, we aimed to determ...
Pregnancy Trimester, Second Female Amniotic Fluid Biomarkers Adult CA-19-9 Antigen Neural Tube Defects Prenatal Diagnosis Humans Pregnancy Reference Values Cross-Sectional Studies Case-Control Studies
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