Pregnancy

Analgesic efficacy of two different volumes of local anaesthetics in ultrasound-guided modified approach to the thoracolumbar interfascial plane block in patients undergoing lumbar spine surgeries: a randomized controlled trial.

INTRODUCTION: There is a lack of clarity regarding the ideal local anaesthetic volume for modified thoracolumbar interfascial plane (mTLIP) block. This study was designed to investigate the analgesic efficacy of two different volumes of bupivacaine 0.25% (20 mL, and 10 mL) for ultrasound-guided mTLIP block in patients undergoing lumbar spine surgeries.

[Ultrasound anatomy of masticatory muscles. (Experimental and clinical study)].

PURPOSE: To describe the ultrasound anatomy of the masticatory muscles based on a comparison of the results of macroscopic and ultrasound studies of the masticatory muscles in vitro.

Management Opportunities and Challenges After Achieving Widespread Health System Digitization.

The adoption of electronic health records (EHRs) and digitization of health data over the past decade is ushering in the next generation of digital he...

Clinical workflow of sonographers performing fetal anomaly ultrasound scans: deep-learning-based analysis.

OBJECTIVE: Despite decades of obstetric scanning, the field of sonographer workflow remains largely unexplored. In the second trimester, sonographers ...

A Computer-Aided Diagnosis System of Fetal Nucleated Red Blood Cells With Convolutional Neural Network.

CONTEXT.—: The rapid recognition of fetal nucleated red blood cells (fNRBCs) presents considerable challenges.

Using Artificial Intelligence for Optimization of the Processes and Resource Utilization in Radiotherapy.

The radiotherapy (RT) process from planning to treatment delivery is a multistep, complex operation involving numerous levels of human-machine interac...

The Essence and Role of Nurses in the Future of Biomedical and Health Informatics.

The whole healthcare system is evolving fast due to environmental pressure related to pandemics, climate change, personnel shortages, and financial li...

[Artificial intelligence technology enables ultrasonography in precision diagnosisand treatment of liver diseases].

Liver disease is one of the major problems affecting human health. Ultrasound plays an important role in diagnosis and treatment of diffuse and focal ...

Deep Learning Segmentation, Visualization, and Automated 3D Assessment of Ciliary Body in 3D Ultrasound Biomicroscopy Images.

PURPOSE: This study aimed to develop a fully automated deep learning ciliary body segmentation and assessment approach in three-dimensional ultrasound...

Artificial intelligence model to predict pregnancy and multiple pregnancy risk following in vitro fertilization-embryo transfer (IVF-ET).

OBJECTIVE: To decrease multiple pregnancy risk and sustain optimal pregnancy chance by choosing suitable number of embryos during transfer, this study...

Point-of-Care Ultrasound in the Intensive Care Unit: Applications, Limitations, and the Evolution of Clinical Practice.

The use of point-of-care ultrasonography in the intensive care unit has been rapidly advancing over the past 20 years. This review will provide a broa...

Graph-based structural knowledge-aware network for diagnosis assistant.

Diagnosis assistant is an effective way to reduce the workloads of professional doctors. The rich professional knowledge plays a crucial role in diagn...

Double decoupled network for imbalanced obstetric intelligent diagnosis.

Electronic Medical Record (EMR) is the data basis of intelligent diagnosis. The diagnosis results of an EMR are multi-disease, including normal diagno...

Towards Micropump- and Microneedle-based Drug Delivery using Micro Transdermal Interface Platforms (MicroTIPs).

Micro Transdermal Interface Platforms (MicroTIPs) will combine minimally invasive microneedle arrays with highly miniaturized sensors, actuators, cont...

Comparative Analysis of Current Deep Learning Networks for Breast Lesion Segmentation in Ultrasound Images.

Automatic lesion segmentation in breast ultrasound (BUS) images aids in the diagnosis of breast cancer, the most common type of cancer in women. Accur...

Automated Deep Learning-based Single-Step Diameter Estimation of Carotid Arteries in B-mode Ultrasound.

Accurate measurement of blood vessel diameter on ultrasonic images is important in many vascular exams. In one of them, volumetric blood flow measurem...

Transfer Learning for Automated COVID-19 B-Line Classification in Lung Ultrasound.

Lung ultrasound (LUS) as a diagnostic tool is gaining support for its role in the diagnosis and management of COVID-19 and a number of other lung path...

A deep learning method for kidney segmentation in 2D ultrasound images.

Ultrasound (US) is a medical imaging modality widely used for diagnosis, monitoring, and guidance of surgical procedures. However, the accurate interp...

Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images scalable deep learning.

BACKGROUND: Hepatic steatosis is a major cause of chronic liver disease. Two-dimensional (2D) ultrasound is the most widely used non-invasive tool for...

Pattern-Based Logical Definitions of Prenatal Disorders Grounded on Dispositions.

Biomedical ontologies define concepts having biomedical significance and the semantic relations among them. Developing high-quality and reusable ontol...