Pregnancy

Applying Automated Machine Learning to Predict Mode of Delivery Using Ongoing Intrapartum Data in Laboring Patients.

OBJECTIVE: This study aimed to develop and validate a machine learning (ML) model to predict the pro...

Application of Recurrent Neural Network Algorithm in Intelligent Detection of Clinical Ultrasound Images of Human Lungs.

Lung ultrasound has great application value in the differential diagnosis of pulmonary exudative les...

A Prediction Model of Human Resources Recruitment Demand Based on Convolutional Collaborative BP Neural Network.

This paper presents an in-depth study and analysis of the prediction model of force resource recruit...

Machine learning methods to predict attrition in a population-based cohort of very preterm infants.

The timely identification of cohort participants at higher risk for attrition is important to earlie...

Using deep-learning in fetal ultrasound analysis for diagnosis of cystic hygroma in the first trimester.

OBJECTIVE: To develop and internally validate a deep-learning algorithm from fetal ultrasound images...

Novel COVID-19 Diagnosis Delivery App Using Computed Tomography Images Analyzed with Saliency-Preprocessing and Deep Learning.

This app project was aimed to remotely deliver diagnoses and disease-progression information to COVI...

High frame rate (∼3 Hz) circular photoacoustic tomography using single-element ultrasound transducer aided with deep learning.

SIGNIFICANCE: In circular scanning photoacoustic tomography (PAT), it takes several minutes to gener...

An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images.

Cerebellum measures taken from routinely obtained ultrasound (US) images have been frequently employ...

The Impact of the Live Delivery of Goods on Consumers' Purchasing Behaviour in Complex Situations Based on Artificial Intelligence Technology.

With the development of information technology, the purchase of goods online has acquired a differen...

Spinning-enabled wireless amphibious origami millirobot.

Wireless millimeter-scale origami robots have recently been explored with great potential for biomed...

Is the Cardiovascular Specialist Ready For the Fifth Revolution? The Role of Artificial Intelligence, Machine Learning, Big Data Analysis, Intelligent Swarming, and Knowledge-Centered Service on the Future of Global Cardiovascular Healthcare Delivery.

Application of a Tele-Ultrasound Robot During COVID-19 Pandemic: A Feasibility Study.

OBJECTIVE: To investigate the accuracy of ultrasonic diagnosis using the tele-ultrasound robot in Le...

Oxygen delivery in pediatric cardiac surgery and its association with acute kidney injury using machine learning.

OBJECTIVE: Acute kidney injury (AKI) after pediatric cardiac surgery with cardiopulmonary bypass (CP...

Real-time denoising of ultrasound images based on deep learning.

Ultrasound images are widespread in medical diagnosis for muscle-skeletal, cardiac, and obstetrical ...

Deep Learning Algorithm-Based Magnetic Resonance Imaging Feature-Guided Serum Bile Acid Profile and Perinatal Outcomes in Intrahepatic Cholestasis of Pregnancy.

This study was aimed to explore magnetic resonance imaging (MRI) based on deep learning belief netwo...

Deep Learning Algorithm-Based Ultrasound Image Information in Diagnosis and Treatment of Pernicious Placenta Previa.

This study was to explore the value of the deep dictionary learning algorithm in constructing a B ul...

Prediction of Labor Unemployment Based on Time Series Model and Neural Network Model.

With the advent of big data, statistical accounting based on artificial intelligence can realistical...

Deep Learning for Nuchal Translucency-Based Screening for Fetal Trisomy 21.

Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation.

Prostate segmentation in transrectal ultrasound (TRUS) image is an essential prerequisite for many p...

Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks.

Ultrasound imaging is a commonly used technology for visualising patient anatomy in real-time during...

Collaborative Robotic Wire + Arc Additive Manufacture and Sensor-Enabled In-Process Ultrasonic Non-Destructive Evaluation.

The demand for cost-efficient manufacturing of complex metal components has driven research for meta...