Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis
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 …
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 …
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 …
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
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 …
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
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 …
(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 …
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
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 …
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
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 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 …
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 …
However, the limitations of ultrasound in CTS detection are the lack of objective measures in …