Obstetrics & Gynecology

Pregnancy

Latest AI and machine learning research in pregnancy for healthcare professionals.

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RADEX: a rule-based clinical and radiology data extraction tool demonstrated on thyroid ultrasound reports.

OBJECTIVES: Radiology reports contain valuable information for research and audits, but relevant det...

Improved segmentation of hepatic vascular networks in ultrasound volumes using 3D U-Net with intensity transformation-based data augmentation.

Accurate three-dimensional (3D) segmentation of hepatic vascular networks is crucial for supporting ...

Factors contributing to chronic ankle instability in parcel delivery workers based on machine learning techniques.

BACKGROUND: Ankle injuries in parcel delivery workers (PDWs) are most often caused by trips. Ankle s...

Diagnosis and treatment of a rare bilateral primary thyroid cancer: a case report.

Preoperative ultrasound examination of thyroid nodules is the most economical and effective screenin...

Empowering large language models for automated clinical assessment with generation-augmented retrieval and hierarchical chain-of-thought.

BACKGROUND: Understanding and extracting valuable information from electronic health records (EHRs) ...

Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in Rwanda.

BACKGROUND: Despite substantial progress in maternal and neonatal health, Rwanda's mortality rates r...

Deep learning-based quick MLC sequencing for MRI-guided online adaptive radiotherapy: a feasibility study for pancreatic cancer patients.

One bottleneck of magnetic resonance imaging (MRI)-guided online adaptive radiotherapy is the time-c...

Machine learning approaches for predicting fetal macrosomia at different stages of pregnancy: a retrospective study in China.

BACKGROUND: Macrosomia presents significant risks to both maternal and neonatal health, however, acc...

Identification of critical biomarkers and immune infiltration in preeclampsia through bioinformatics and machine learning methods.

BACKGROUND: Preeclampsia (PE) is a multisystem progressive disease that occurs during pregnancy. Pre...

Machine learning-enhanced surface-enhanced spectroscopic detection of polycyclic aromatic hydrocarbons in the human placenta.

The detection and identification of polycyclic aromatic hydrocarbons (PAHs) and their derivatives, p...

Human-AI collaboration for ultrasound diagnosis of thyroid nodules: a clinical trial.

PURPOSE: This clinical trial examined how the articifial intelligence (AI)-based diagnostics system ...

Revolutionizing prostate cancer therapy: Artificial intelligence - Based nanocarriers for precision diagnosis and treatment.

Prostate cancer is one of the major health challenges in the world and needs novel therapeutic appro...

Machine learning-driven Heckmatt grading in facioscapulohumeral muscular dystrophy: A novel pathway for musculoskeletal ultrasound analysis.

OBJECTIVE: This study introduces a machine learning approach to automate muscle ultrasound analysis,...

Video Clip Extraction From Fetal Ultrasound Scans Using Artificial Intelligence to Allow Remote Second Expert Review for Congenital Heart Disease.

OBJECTIVE: To use artificial intelligence (AI) to automatically extract video clips of the fetal hea...

Association between deep learning radiomics based on placental MRI and preeclampsia with fetal growth restriction: A multicenter study.

PURPOSE: Preeclampsia (PE) is associated with placental insufficiency and could lead to adverse preg...

Computer-aided cholelithiasis diagnosis using explainable convolutional neural network.

Accurate and precise identification of cholelithiasis is essential for saving the lives of millions ...

ThyroNet-X4 genesis: an advanced deep learning model for auxiliary diagnosis of thyroid nodules' malignancy.

Thyroid nodules are a common endocrine condition, and accurate differentiation between benign and ma...

IPNet: An Interpretable Network With Progressive Loss for Whole-Stage Colorectal Disease Diagnosis.

Colorectal cancer plays a dominant role in cancer-related deaths, primarily due to the absence of ob...

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