Deep Learning-Based Prediction of Paresthesia after Third Molar Extraction: A Preliminary Study

Deep Learning-Based Prediction of Paresthesia after Third Molar Extraction: A Preliminary Study

The purpose of this study was to determine whether convolutional neural networks (CNNs) can predict paresthesia of the inferior alveolar nerve using panoramic radiographic images before extraction of the mandibular third molar. The dataset consisted of a total of 300 preoperative panoramic radiograp...

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Bibliographic Details
Main Authors: Byung Su Kim, Han Gyeol Yeom, Jong Hyun Lee, Woo Sang Shin, Jong Pil Yun, Seung Hyun Jeong, Jae Hyun Kang, See Woon Kim, Bong Chul Kim
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Diagnostics
Subjects:
machine learning
third molar
tooth extractions
machine intelligence
inferior alveolar nerve injuries
Online Access:https://www.mdpi.com/2075-4418/11/9/1572

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