AIMC Topic: Placenta Previa

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Deep Learning Radiomic Analysis of MRI Combined with Clinical Characteristics Diagnoses Placenta Accreta Spectrum and its Subtypes.

Journal of magnetic resonance imaging : JMRI Feb 23, 2024
BACKGROUND: Different placenta accreta spectrum (PAS) subtypes pose varying surgical risks to the parturient. Machine learning model has the potential to diagnose PAS disorder.
Humans Retrospective Studies Pregnancy Placenta Accreta Deep Learning Female Placenta Previa ROC Curve Adult Magnetic Resonance Imaging Radiomics
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A multimodal deep learning model for predicting severe hemorrhage in placenta previa.

Scientific reports Oct 13, 2023
Placenta previa causes life-threatening bleeding and accurate prediction of severe hemorrhage leads to risk stratification and optimum allocation of interventions. We aimed to use a multimodal deep learning model to predict severe hemorrhage. Using M...
Female Deep Learning Blood Loss, Surgical Humans Retrospective Studies Pregnancy Placenta Placenta Accreta Placenta Previa
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Multi-centre deep learning for placenta segmentation in obstetric ultrasound with multi-observer and cross-country generalization.

Scientific reports Feb 8, 2023
The placenta is crucial to fetal well-being and it plays a significant role in the pathogenesis of hypertensive pregnancy disorders. Moreover, a timely diagnosis of placenta previa may save lives. Ultrasound is the primary imaging modality in pregnan...
Female Ultrasonography, Prenatal Deep Learning Image Processing, Computer-Assisted Placenta Placenta Previa Humans Pregnancy
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Deep Learning Algorithm-Based Ultrasound Image Information in Diagnosis and Treatment of Pernicious Placenta Previa.

Computational and mathematical methods in medicine Jun 6, 2022
This study was to explore the value of the deep dictionary learning algorithm in constructing a B ultrasound scoring system and exploring its application in the clinical diagnosis and treatment of pernicious placenta previa (PPP). 60 patients with PP...
Humans Retrospective Studies Pregnancy Female Ultrasonography Infant, Newborn Placenta Accreta Ultrasonography, Prenatal Placenta Previa Deep Learning
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Automatic Placenta Localization From Ultrasound Imaging in a Resource-Limited Setting Using a Predefined Ultrasound Acquisition Protocol and Deep Learning.

Ultrasound in medicine & biology Jan 19, 2022
Placenta localization from obstetric 2-D ultrasound (US) imaging is unattainable for many pregnant women in low-income countries because of a severe shortage of trained sonographers. To address this problem, we present a method to automatically detec...
Placenta Previa Image Processing, Computer-Assisted Placenta Humans Ultrasonography, Prenatal Pregnancy Deep Learning Female Ultrasonography
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Identification of suspicious invasive placentation based on clinical MRI data using textural features and automated machine learning.

European radiology Aug 23, 2019
OBJECTIVE: The aim of this study was to investigate whether intraplacental texture features from routine placental MRI can objectively and accurately predict invasive placentation.
Prenatal Diagnosis Placenta Previa Magnetic Resonance Imaging Placenta Placentation Young Adult Retrospective Studies Adult Pregnancy Humans Female Machine Learning Algorithms
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Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa.

Magnetic resonance imaging May 15, 2019
PURPOSE: To evaluate whether a machine learning (ML) analysis employing MRI-derived texture analysis (TA) features could be useful in assessing the presence of placenta accreta spectrum (PAS) in patients with placenta previa (PP). The hypothesis is t...
Prenatal Diagnosis Placenta Accreta Placenta Previa Bayes Theorem Placenta Algorithms Sensitivity and Specificity Female Humans Retrospective Studies Magnetic Resonance Imaging Reproducibility of Results Image Interpretation, Computer-Assisted Pregnancy Machine Learning Adult Predictive Value of Tests
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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...
Humans ROC Curve Machine Learning Pregnancy Trimester, Third Predictive Value of Tests Metabolomics Biomarkers Female Placenta Accreta Lipidomics Pregnancy Adult Lipids Placenta Previa Gestational Age Case-Control Studies
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