Developing a Diagnostic Decision Support System for Benign Paroxysmal Positional Vertigo Using a Deep-Learning Model

Developing a Diagnostic Decision Support System for Benign Paroxysmal Positional Vertigo Using a Deep-Learning Model

<i>Background</i>: Diagnosis of benign paroxysmal positional vertigo (BPPV) depends on the accurate interpretation of nystagmus induced by positional tests. However, difficulties in interpreting eye-movement often can arise in primary care practice or emergency room. We hypothesized that...

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Bibliographic Details
Main Authors: Eun-Cheon Lim, Jeong Hye Park, Han Jae Jeon, Hyung-Jong Kim, Hyo-Jeong Lee, Chang-Geun Song, Sung Kwang Hong
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Journal of Clinical Medicine
Subjects:
vertigo
benign paroxysmal positional vertigo
deep learning
artificial intelligence
Online Access:https://www.mdpi.com/2077-0383/8/5/633

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https://www.mdpi.com/2077-0383/8/5/633

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