Obstetrics & Gynecology

Pregnancy

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

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Susceptibility of periodontal pathogens to a novel target-specific drug delivery system containing self-nanoemulsifying curcumin: An in vitro study.

BACKGROUND: Long-term use of many classic chemotherapeutic agents as adjuncts in the management of p...

Unveiling the future of breast cancer assessment: a critical review on generative adversarial networks in elastography ultrasound.

Elastography Ultrasound provides elasticity information of the tissues, which is crucial for underst...

Deep learning approach for discrimination of liver lesions using nine time-phase images of contrast-enhanced ultrasound.

PURPOSE: Contrast-enhanced ultrasound (CEUS) shows different enhancement patterns depending on the t...

One-Stop Automated Diagnostic System for Carpal Tunnel Syndrome in Ultrasound Images Using Deep Learning.

OBJECTIVE: Ultrasound (US) examination has unique advantages in diagnosing carpal tunnel syndrome (C...

Rapid intraoperative multi-molecular diagnosis of glioma with ultrasound radio frequency signals and deep learning.

BACKGROUND: Molecular diagnosis is crucial for biomarker-assisted glioma resection and management. H...

Comparison of Ultrasound-Guided Anterior, Posterior and Combination of Quadratus Lumborum Block in Laparoscopic Abdominal Surgeries: A Pilot Study.

BACKGROUND: The quadratus lumborum block (QLB) is an effective technique to provide analgesia for up...

Ultrasound-assisted extraction of bioactive pigments from Spirulina platensis in natural deep eutectic solvents.

Spirulina platensis biopigments have been documented as a potential source of nutritional, physiolog...

Artificial intelligence assisted endoscopic ultrasound for detection of pancreatic space-occupying lesion: a systematic review and meta-analysis.

BACKGROUND: Diagnosing pancreatic lesions, including chronic pancreatitis, autoimmune pancreatitis, ...

Frontiers in nonviral delivery of small molecule and genetic drugs, driven by polymer chemistry and machine learning for materials informatics.

Materials informatics (MI) has immense potential to accelerate the pace of innovation and new produc...

Application technology for bioherbicides: challenges and opportunities with dry inoculum and liquid spray formulations.

Bioherbicides offer many potential benefits as part of an integrated weed management system or a tot...

A Multimodal Multilevel Converged Attention Network for Hand Gesture Recognition With Hybrid sEMG and A-Mode Ultrasound Sensing.

Gesture recognition based on surface electromyography (sEMG) has been widely used in the field of hu...

Automatic deep learning-based pleural effusion segmentation in lung ultrasound images.

BACKGROUND: Point-of-care lung ultrasound (LUS) allows real-time patient scanning to help diagnose p...

Comparison of deep learning-based image segmentation methods for intravascular ultrasound on retrospective and large image cohort study.

OBJECTIVES: The aim of this study was to investigate the generalization performance of deep learning...

A hybrid stacked ensemble and Kernel SHAP-based model for intelligent cardiotocography classification and interpretability.

BACKGROUND: Intelligent cardiotocography (CTG) classification can assist obstetricians in evaluating...

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