Communicating neurological prognosis in the prenatal period: a narrative review and practice guidelines

NK Field, C Venkatesan, D Gano, S Agarwal… - Pediatric …, 2025 - nature.com
Clinicians may face an array of challenges in conducting fetal neurological consultations
including prognostic uncertainty, a lack of training in fetal counseling, and limited opportunity …

Ensemble machine learning framework for predicting maternal health risk during pregnancy

AO Khadidos, F Saleem, S Selvarajan, Z Ullah… - Scientific Reports, 2024 - nature.com
Maternal health risks can cause a range of complications for women during pregnancy. High
blood pressure, abnormal glucose levels, depression, anxiety, and other maternal health …

Enhancing obstetric ultrasonography with artificial intelligence in resource-limited settings

AC Gimovsky, AC Eke, MG Tuuli - JAMA, 2024 - jamanetwork.com
Establishing gestational age (GA) is critical for guiding obstetric care and decision-making
(including the timing of prenatal visits, laboratory testing, administration of medications …

Equity and timeliness as factors in the effectiveness of an ethical prenatal sequencing service: reflections from parents and professionals

M Peter, M Hill, J Fisher, M Daniel… - European Journal of …, 2024 - nature.com
Prenatal sequencing tests are being introduced into clinical practice in many developed
countries. In part due to its greater ability to detect genetic variation, offering prenatal …

Novel neural network classification of maternal fetal ultrasound planes through optimized feature selection

S Rathika, K Mahendran, H Sudarsan, SV Ananth - BMC Medical Imaging, 2024 - Springer
Ultrasound (US) imaging is an essential diagnostic technique in prenatal care, enabling
enhanced surveillance of fetal growth and development. Fetal ultrasonography standard …

Integrating AutoGluon for Real-Time Monitoring and Classification of Dental Equipment Performance

M Yang, F Li, W Qiu - IEEE Access, 2024 - ieeexplore.ieee.org
This study aims to introduce AutoGluon, an automated machine learning (AutoML)
framework that monitors and classifies the performance of dental equipment in real time. The …

[HTML][HTML] Antenatal ultrasound (AUS) and the detection of cranio-and orofacial malformations—a sco** review

SJ Chedid, SM De Fantini, G Deeken… - Journal of Public …, 2025 - jphe.amegroups.org
Background: Gestational ultrasounds (GUS) are widely used today to monitor fetal health in
utero, by assessing structural development and detecting potential anomalies. Ultrasounds …

An Intensive Review on Deep Learning Approaches in Non-Invasive Fetal Healthcare Monitoring

H LR, GS Sadasivam - 2024 4th International Conference on …, 2024 - ieeexplore.ieee.org
Fetal health care is one of the most crucial concerns in today's world. Evaluating fetal well-
being has always been challenging. Proper development and monitoring of the fetus are …

[PDF][PDF] Sistematização da assistência multiprofissional direcionada a crianças com síndrome de Down em um hospital universitário

AP Baumblatt - 2024 - repositorio-bc.unirio.br
Este manual traz com muita propriedade uma visão ampla, habitualmente não descrita em
muitos manuais técnicos voltados para os cuidados de uma pessoa com deficiência, nesse …

Semi-supervised Three-Dimensional Detection of Congenital Brain Anomalies in First Trimester Ultrasound

MC Zijta, WAP Bastiaansen, RMH Wijnen… - … Workshop on Preterm …, 2024 - Springer
Congenital brain anomalies occur in about 1% of pregnancies and often lead to termination
of pregnancy due to their severity. Detection rates in the first trimester are low, between 53 …