AIMC Topic: Placenta Accreta

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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...
Placenta Previa Retrospective Studies Deep Learning Humans Ultrasonography, Prenatal Female Pregnancy Infant, Newborn Placenta Accreta Ultrasonography
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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...
Adult Placenta Previa Sensitivity and Specificity Retrospective Studies Reproducibility of Results Machine Learning Prenatal Diagnosis Humans Bayes Theorem Female Placenta Accreta Algorithms Predictive Value of Tests Placenta Image Interpretation, Computer-Assisted Pregnancy Magnetic Resonance Imaging
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[Assessing the accuracy and comprehensiveness of large language models in responding to patient inquiries on placenta accreta spectrum].

Zhonghua yi xue za zhi Nov 4, 2025
To explore the accuracy and comprehensiveness of responses from four large language models [ChatGPT-3.5 (Model A), ChatGPT-4.0 (Model B), ChatGPT-4o (Model D) developed by OpenAI in the United States, and a domestically developed Obstetric artificia...
Language Pregnancy Prospective Studies Large Language Models Placenta Accreta Artificial Intelligence Surveys and Questionnaires Humans Female
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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...
Case-Control Studies ROC Curve Adult Predictive Value of Tests Lipidomics Lipids Metabolomics Biomarkers Female Pregnancy Humans Placenta Previa Machine Learning Placenta Accreta Gestational Age Pregnancy Trimester, Third
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