Using deep learning for ultrasound images to diagnose chronic lateral ankle instability with high accuracy

Using deep learning for ultrasound images to diagnose chronic lateral ankle instability with high accuracy

The purpose of this study is to calculate diagnostic accuracy of chronic lateral ankle instability (CLAI) from a confusion matrix using deep learning (DL) on ultrasound images of anterior talofibular ligament (ATFL). The study included 30 ankles with no history of ankle sprains (control group), and...

Full description

Saved in:
Bibliographic Details
Main Authors: Masamune Kamachi, Kohei Kamada, Noriyuki Kanzaki, Tetsuya Yamamoto, Yuichi Hoshino, Atsuyuki Inui, Yuta Nakanishi, Kyohei Nishida, Kanto Nagai, Takehiko Matsushita, Ryosuke Kuroda
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Asia-Pacific Journal of Sports Medicine, Arthroscopy, Rehabilitation and Technology
Subjects:
Anterior talofibular ligament
Artificial intelligence
Chronic lateral ankle instability
Deep learning
Ultrasound
Online Access:http://www.sciencedirect.com/science/article/pii/S2214687325000019
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2214687325000019

Similar Items