Evaluation of Artificial Intelligence Effectiveness in Detection of Lumbosacral Spine Degenerative Diseases

Evaluation of Artificial Intelligence Effectiveness in Detection of Lumbosacral Spine Degenerative Diseases

Objective: comparative evaluation of output data of a set of trained convolutional neural network (CNN) models and interpretation of pathological changes in lumbar spine by radiologists during magnetic resonance imaging.Material and methods. More than 12,000 anonymized archives were collected to gen...

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Main Authors: N. В. Nudnov, A. V. Korobov, А. А. Skachkov, T. V. Kulneva, V. V. Sherstoboev, L. А. Titova, A. S. Rusakov, V. V. Tumko, R. S. Sarbaev, N. А. Uspenskaya, E. А. Andrienko, M. Е. Ivannikov
Format: Article
Language:English
Published: Luchevaya Diagnostika, LLC 2024-06-01
Series:Вестник рентгенологии и радиологии
Subjects:
magnetic resonance imaging
artificial intelligence
neural network
convolutional neural network
deep learning
software in medicine
Online Access:https://www.russianradiology.ru/jour/article/view/854
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https://www.russianradiology.ru/jour/article/view/854

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