AIMC Topic: Ultrasonography

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Economic Evaluation of Telerobotic Ultrasound Technology to Remotely Provide Ultrasound Services in Rural and Remote Communities.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
INTRODUCTION: Telerobotic ultrasound technology allows radiologists and sonographers to remotely provide ultrasound services in underserved areas. This study aimed to compare costs associated with using telerobotic ultrasound to provide ultrasound se...

Comparative Study of Raw Ultrasound Data Representations in Deep Learning to Classify Hepatic Steatosis.

Ultrasound in medicine & biology
Adiposity accumulation in the liver is an early-stage indicator of non-alcoholic fatty liver disease. Analysis of ultrasound (US) backscatter echoes from liver parenchyma with deep learning (DL) may offer an affordable alternative for hepatic steatos...

Deep learning in ultrasound elastography imaging: A review.

Medical physics
It is known that changes in the mechanical properties of tissues are associated with the onset and progression of certain diseases. Ultrasound elastography is a technique to characterize tissue stiffness using ultrasound imaging either by measuring t...

Artificial Intelligence-Based Feature Analysis of Ultrasound Images of Liver Fibrosis.

Computational intelligence and neuroscience
Liver fibrosis is a common liver disease that seriously endangers human health. Liver biopsy is the gold standard for diagnosing liver fibrosis, but its clinical use is limited due to its invasive nature. Ultrasound image examination is a widely used...

Tracked 3D ultrasound and deep neural network-based thyroid segmentation reduce interobserver variability in thyroid volumetry.

PloS one
Thyroid volumetry is crucial in the diagnosis, treatment, and monitoring of thyroid diseases. However, conventional thyroid volumetry with 2D ultrasound is highly operator-dependent. This study compares 2D and tracked 3D ultrasound with an automatic ...

A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images.

Ultrasonic imaging
Intravascular ultrasound (IVUS) imaging allows direct visualization of the coronary vessel wall and is suitable for assessing atherosclerosis and the degree of stenosis. Accurate segmentation and lumen and median-adventitia (MA) measurements from IVU...

Using deep learning for ultrasound images to diagnose carpal tunnel syndrome with high accuracy.

Ultrasound in medicine & biology
Recently, deep learning (DL) algorithms have been adapted for the diagnosis of medical images. The purpose of this study was to detect image features using DL without measuring median nerve cross-sectional area (CSA) in ultrasonography (US) images of...

Successful Use of a 5G-Based Robot-Assisted Remote Ultrasound System in a Care Center for Disabled Patients in Rural China.

Frontiers in public health
BACKGROUND: Disability has become a global population health challenge. Due to difficulties in self-care or independent living, patients with disability mainly live in community-based care centers or institutions for long-term care. Nonetheless, thes...

Machine learning-enabled quantitative ultrasound techniques for tissue differentiation.

Journal of medical ultrasonics (2001)
PURPOSE: Quantitative ultrasound (QUS) infers properties about tissue microstructure from backscattered radio-frequency ultrasound data. This paper describes how to implement the most practical QUS parameters using an ultrasound research system for t...

Robot-assisted vs ultrasonography-guided transversus abdominis plane (TAP) block vs local anaesthesia in urology: results of the UROTAP randomized trial.

BJU international
OBJECTIVES: To prospectively analyse robotically administered transperitoneal transversus abdominis plane (robot-assisted transversus abdominis plane [RTAP]) compared with both ultrasonography-guided transversus abdominis plane (UTAP) and local anaes...