AIMC Topic: Gestational Age
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Ensemble of trees approaches to risk adjustment for evaluating a hospital's performance.
Health care management science
Apr 29, 2014
A commonly used method for evaluating a hospital's performance on an outcome is to compare the hospital's observed outcome rate to the hospital's expected outcome rate given its patient (case) mix and service. The process of calculating the hospital'...
Birth Weight
Outcome Assessment, Health Care
Pregnancy Complications
Gestational Age
Hospital Mortality
Logistic Models
Socioeconomic Factors
Bayes Theorem
Humans
Pregnancy
Female
Artificial Intelligence
Premature Birth
Risk Adjustment
Prenatal Care
Diagnosis-Related Groups
Hospital Administration
Intensive Care Units, Neonatal
Fetal growth disorders detection during first trimester gestation through comprehensive maternal circulating DNA profiling.
Human molecular genetics
Jun 18, 2025
BACKGROUND: Early diagnosis, close follow-up and timely delivery constitute the main elements for appropriate detection and management of Fetal Growth Disorders (FGD). We hypothesized that fetoplacental FGD-associated alterations can be detected in c...
Predicting Placenta Accreta Spectrum Disorder Through Machine Learning Using Metabolomic and Lipidomic Profiling and Clinical Characteristics.
Obstetrics and gynecology
Jun 1, 2025
OBJECTIVE: To perform metabolomic and lipidomic profiling with plasma samples from patients with placenta accreta spectrum (PAS) to identify possible biomarkers for PAS and to predict PAS with machine learning methods that incorporated clinical chara...
Machine Learning Assessment of Gestational Age in Accelerated Maturation, Delayed Maturation, Villous Edema, Chorangiosis, and Intrauterine Fetal Demise.
Archives of pathology & laboratory medicine
Jun 1, 2025
CONTEXT.—: Assessment of placental villous maturation is among the most common tasks in perinatal pathology. However, the significance of abnormalities in morphology is unclear and interobserver variability is significant.
Evaluating Prevalence of Preterm Postnatal Growth Faltering Using Fenton 2013 and INTERGROWTH-21st Growth Charts with Logistic and Machine Learning Models.
Nutrients
May 20, 2025
Postnatal growth faltering (PGF) significantly affects premature neonates, leading to compromised neurodevelopment and an increased risk of long-term health complications. This retrospective study at a level III NICU of a tertiary hospital analyzed...
Machine learning based clinical decision tool to predict acute kidney injury and survival in therapeutic hypothermia treated neonates.
Scientific reports
May 19, 2025
Therapeutic hypothermia (TH) significantly reduces mortality and morbidities in neonates with Neonatal Encephalopathy (NE). NE may result in neonatal death and multisystem organ impairment, including acute kidney injury (AKI). Our study aimed to util...
Assessing fetal lung maturity: Integration of ultrasound radiomics and deep learning.
African journal of reproductive health
May 16, 2025
This study built a model to forecast the maturity of lungs by blending radiomics and deep learning methods. We examined ultrasound images from 263 pregnancies in the pregnancy stages. Utilizing the GE VOLUSON E8 system we captured images to extract a...
Application of machine learning in identifying risk factors for low APGAR scores.
BMC pregnancy and childbirth
May 8, 2025
BACKGROUND: Identifying the risk factors for low APGAR scores at birth is critical for improving neonatal outcomes and guiding clinical interventions.
Machine Learning-Based Prediction of Large-for-Gestational-Age Infants in Mothers With Gestational Diabetes Mellitus.
The Journal of clinical endocrinology and metabolism
Apr 22, 2025
CONTEXT: Large-for-gestational-age (LGA), one of the most common complications of gestational diabetes mellitus (GDM), has become a global concern. The predictive performance of common continuous glucose monitoring (CGM) metrics for LGA is limited.
Deep Learning-based Brain Age Prediction Using MRI to Identify Fetuses with Cerebral Ventriculomegaly.
Radiology. Artificial intelligence
Mar 1, 2025
Fetal ventriculomegaly (VM) and its severity and associated central nervous system (CNS) abnormalities are important indicators of high risk for impaired neurodevelopmental outcomes. Recently, a novel fetal brain age prediction method using a two-dim...
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