Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis

JC Wang, YC Shu, CY Lin, WT Wu, LR Chen… - Artificial Intelligence in …, 2023 - Elsevier
Objective High-resolution ultrasound is an emerging tool for diagnosing carpal tunnel
syndrome caused by the compression of the median nerve at the wrist. This systematic …

The role of artificial intelligence in electrodiagnostic and neuromuscular medicine: Current state and future directions

MA Taha, JA Morren - Muscle & Nerve, 2024 - Wiley Online Library
The rapid advancements in artificial intelligence (AI), including machine learning (ML), and
deep learning (DL) have ushered in a new era of technological breakthroughs in healthcare …

Degree of accuracy with which deep learning for ultrasound images identifies osteochondritis dissecans of the humeral capitellum

I Shinohara, T Yoshikawa, A Inui… - … American Journal of …, 2023 - journals.sagepub.com
Background: Medical screening using ultrasonography (US) has been performed on young
baseball players for early detection of osteochondritis dissecans (OCD) of the humeral …

Deep learning-based approaches for enhanced diagnosis and comprehensive understanding of carpal tunnel syndrome

M Elseddik, K Alnowaiser, RR Mostafa, A Elashry… - Diagnostics, 2023 - mdpi.com
Carpal tunnel syndrome (CTS) is a prevalent medical condition resulting from compression
of the median nerve in the hand, often caused by overuse or age-related factors. In this …

A deep learning approach to median nerve evaluation in ultrasound images of carpal tunnel inlet

M Di Cosmo, MC Fiorentino, FP Villani… - Medical & Biological …, 2022 - Springer
Ultrasound (US) imaging is recognized as a useful support for Carpal Tunnel Syndrome
(CTS) assessment through the evaluation of median nerve morphology. However, US is still …

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

I Shinohara, A Inui, Y Mifune, H Nishimoto… - Ultrasound in Medicine …, 2022 - Elsevier
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 …

Predicting CTS Diagnosis and Prognosis Based on Machine Learning Techniques

M Elseddik, RR Mostafa, A Elashry, N El-Rashidy… - Diagnostics, 2023 - mdpi.com
Carpal tunnel syndrome (CTS) is a clinical disease that occurs due to compression of the
median nerve in the carpal tunnel. The determination of the severity of carpal tunnel …

[HTML][HTML] Real-time automated segmentation of median nerve in dynamic ultrasonography using deep learning

CL Yeh, CH Wu, MY Hsiao, PL Kuo - Ultrasound in Medicine & Biology, 2023 - Elsevier
Objective The morphological dynamics of the median nerve across the level extracted from
dynamic ultrasonography are valuable for the diagnosis and evaluation of carpal tunnel …

Dynamic Analysis of the Median Nerve in Carpal Tunnel Syndrome from Ultrasound Images Using the YOLOv5 Object Detection Model

S Tanaka, A Inui, Y Mifune, H Nishimoto, I Shinohara… - Applied Sciences, 2023 - mdpi.com
Carpal tunnel syndrome (CTS) is caused by subsynovial connective tissue fibrosis, resulting
in median nerve (MN) mobility. The standard evaluation method is the measurement of the …

Deep Radiomics Features of Median Nerves for Automated Diagnosis of Carpal Tunnel Syndrome With Ultrasound Images: A Multi‐Center Study

A Mohammadi, T Torres‐Cuenca… - … of Ultrasound in …, 2023 - Wiley Online Library
Objectives Ultrasound is widely used in diagnosing carpal tunnel syndrome (CTS).
However, the limitations of ultrasound in CTS detection are the lack of objective measures in …