Development and validation of automated three-dimensional convolutional neural network model for acute appendicitis diagnosis

Development and validation of automated three-dimensional convolutional neural network model for acute appendicitis diagnosis

Abstract Rapid, accurate preoperative imaging diagnostics of appendicitis are critical in surgical decisions of emergency care. This study developed a fully automated diagnostic framework using a 3D convolutional neural network (CNN) to identify appendicitis and clinical information from patients wi...

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Bibliographic Details
Main Authors: Minsung Kim, Taeyong Park, Jaewoong Kang, Min-Jeong Kim, Mi Jung Kwon, Bo Young Oh, Jong Wan Kim, Sangook Ha, Won Seok Yang, Bum-Joo Cho, Iltae Son
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Acute appendicitis
Convolutional neural network
Online Access:https://doi.org/10.1038/s41598-024-84348-6
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https://doi.org/10.1038/s41598-024-84348-6

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