Obstetrics & Gynecology

Pregnancy

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

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Showing 358-378 of 3,232 articles
Multi-center study: ultrasound-based deep learning features for predicting Ki-67 expression in breast cancer.

Applying deep learning algorithms to mine ultrasound features of breast cancer and construct a machi...

Early prediction of intraventricular hemorrhage in very low birth weight infants using deep neural networks with attention in low-resource settings.

Early prediction of intraventricular hemorrhage (IVH) in very low-birthweight infants (VLBWIs) remai...

Integrating data mining with transcranial focused ultrasound to refine neuralgia treatment strategies.

BACKGROUND: Neuralgia and other neuropathic pain are difficult to treat owing to their complicated e...

High-resolution ultrasound of the annular pulley system in the toes: sonographic anatomy and pathological cases.

OBJECTIVE: To validate high-frequency ultrasound as a valuable imaging modality in the assessment of...

Flip Learning: Weakly supervised erase to segment nodules in breast ultrasound.

Accurate segmentation of nodules in both 2D breast ultrasound (BUS) and 3D automated breast ultrasou...

Thinking Like Sonographers: Human-Centered CNN Models for Gout Diagnosis From Musculoskeletal Ultrasound.

We explore the potential of deep convolutional neural network (CNN) models for differential diagnosi...

Multiple Instance Learning-Based Prediction of Blood-Brain Barrier Opening Outcomes Induced by Focused Ultrasound.

OBJECTIVE: Targeted blood-brain barrier (BBB) opening using focused ultrasound (FUS) and micro/nanob...

Quadrupole Magnetic Tweezers for Precise Cell Transportation.

This research introduces a quadrupole magnetic tweezers which can be used for precise cell transport...

The Artificial Intelligence-Enhanced Echocardiographic Detection of Congenital Heart Defects in the Fetus: A Mini-Review.

Artificial intelligence (AI) is rapidly gaining attention in radiology and cardiology for accurately...

Automated Detection of Microcracks Within Second Harmonic Generation Images of Cartilage Using Deep Learning.

Articular cartilage, essential for smooth joint movement, can sustain micrometer-scale microcracks i...

A machine learning model based on placental magnetic resonance imaging and clinical factors to predict fetal growth restriction.

OBJECTIVES: To create a placental radiomics-clinical machine learning model to predict FGR.

CPPCGM: A Highly Efficient Sequence-Based Tool for Simultaneously Identifying and Generating Cell-Penetrating Peptides.

Cell-penetrating peptides (CPPs) are usually short oligopeptides with 5-30 amino acid residues. CPPs...

Predictive modeling of pregnancy outcomes utilizing multiple machine learning techniques for in vitro fertilization-embryo transfer.

OBJECTIVE: This study aims to investigate the influencing factors of pregnancy outcomes during in vi...

Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study.

BACKGROUND: Low birth weight (LBW) is a critical factor linked to neonatal morbidity and mortality. ...

Volume-based complete automation for ultrasound fetal biometry: A pilot approach to assess feasibility, reliability, and perspectives.

BACKGROUND: Detection algorithms targeting anatomic landmarks in three-dimensional (3D) ultrasound (...

CACTUS: An open dataset and framework for automated Cardiac Assessment and Classification of Ultrasound images using deep transfer learning.

Cardiac ultrasound (US) scanning is one of the most commonly used techniques in cardiology to diagno...

Applications of artificial intelligence in ultrasound imaging for carpal-tunnel syndrome diagnosis: a scoping review.

PURPOSE: The purpose of this scoping review is to analyze the application of artificial intelligence...

Using artificial intelligence to improve healthcare delivery in select allied health disciplines: a scoping review protocol.

INTRODUCTION: Methods to adopt artificial intelligence (AI) in healthcare clinical practice remain u...

Artificial intelligence-large language models (AI-LLMs) for reliable and accurate cardiotocography (CTG) interpretation in obstetric practice.

BACKGROUND: Accurate cardiotocography (CTG) interpretation is vital for the monitoring of fetal well...

Visualized hysteroscopic artificial intelligence fertility assessment system for endometrial injury: an image-deep-learning study.

OBJECTIVE: Asherman's syndrome (AS) is a significant cause of subfertility in women from developing ...

A scoping review on the integration of artificial intelligence in point-of-care ultrasound: Current clinical applications.

BACKGROUND: Artificial intelligence (AI) is used increasingly in point-of-care ultrasound (POCUS). H...

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