Pregnancy

Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos.

Ultrasound is a widely used imaging modality, yet it is well-known that scanning can be highly opera...

Predicting pregnancy status from mid-infrared spectroscopy in dairy cow milk using deep learning.

Accurately identifying pregnancy status is imperative for a profitable dairy enterprise. Mid-infrare...

Multi-functionalized micro-helical capsule robots with superior loading and releasing capabilities.

The functionalization of microrobots is essential for realizing their biomedical application in targ...

Deep Learning and Computer Vision Strategies for Automated Gene Editing with a Single-Cell Electroporation Platform.

Single-cell delivery platforms like microinjection and nanoprobe electroporation enable unparalleled...

Intelligent automated drug administration and therapy: future of healthcare.

In the twenty-first century, the collaboration of control engineering and the healthcare sector has ...

Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.

OBJECTIVE: To investigate the application of machine learning-based ultrasound radiomics in preopera...

Classification of malignant tumours in breast ultrasound using unsupervised machine learning approaches.

Traditional computer-aided diagnosis (CAD) processes include feature extraction, selection, and clas...

Artificial Intelligence-Powered Measurement of Left Ventricular Ejection Fraction Using a Handheld Ultrasound Device.

The aim of this study was to assess the accuracy of an algorithm for automated measurement of left v...

Automatic segmentation of ventricular volume by 3D ultrasonography in post haemorrhagic ventricular dilatation among preterm infants.

To train, evaluate, and validate the application of a deep learning framework in three-dimensional u...

Ultrasound volume projection image quality selection by ranking from convolutional RankNet.

Periodic inspection and assessment are important for scoliosis patients. 3D ultrasound imaging has b...

Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses.

A major limitation of screening breast ultrasound (US) is a substantial number of false-positive bio...

Fighting viruses with materials science: Prospects for antivirus surfaces, drug delivery systems and artificial intelligence.

OBJECTIVE: Viruses on environmental surfaces, in saliva and other body fluids represent risk of cont...

Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system.

Visual or manual characterization and classification of atherosclerotic plaque lesions are tedious, ...

Automated ultrasound assessment of amniotic fluid index using deep learning.

The estimation of antenatal amniotic fluid (AF) volume (AFV) is important as it offers crucial infor...

Deep learning applied to two-dimensional color Doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study.

BACKGROUND: The current deep learning diagnosis of breast masses is mainly reflected by the diagnosi...

Magnetically actuated intelligent hydrogel-based child-parent microrobots for targeted drug delivery.

Small intestine-targeted drug delivery by oral administration has aroused the growing interest of re...

Artificial intelligence: The current state of affairs for AI in pregnancy and labour.

Lower, Variable Intrathecal Opioid Doses, and the Incidence of Prolonged Fetal Heart Rate Decelerations After Combined Spinal Epidural Analgesia for Labor: A Quality Improvement Analysis.

BACKGROUND: Combined spinal-epidurals with low-dose intrathecal opioids and local anesthetics are co...

Transfer learning with pre-trained deep convolutional neural networks for the automatic assessment of liver steatosis in ultrasound images.

AIM: In this paper we proposed different architectures of convolutional neural network (CNN) to clas...

Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework.

Brain extraction is a fundamental prerequisite step in neuroimage analysis for fetus. Due to surroun...

Transcatheter aortic valve implantation with a novel pre-packaged self-expandable dry-tissue transcatheter aortic valve: a case report.

BACKGROUND: Current commercially available transcatheter aortic valves are stored separately in a gl...