Artificial Intelligence Application in Skull Bone Fracture with Segmentation Approach.

This study aims to evaluate an AI model designed to automatically classify skull fractures and visualize segmentation on emergent CT scans. The model's goal is to boost diagnostic accuracy, alleviate radiologists' workload, and hasten diagnosis, thereby enhancing patient outcomes. Unique to this res...

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Bibliographic Details

Published in:	Journal of Imaging Informatics in Medicine Vol. 38; no. 1; pp. 31 - 47
Main Authors:	Lu, Chia-Yin, Wang, Yu-Hsin, Chen, Hsiu-Ling, Goh, Yu-Xin, Chiu, I-Min, Hou, Ya-Yuan, Kuo, Kuei-Hong, Lin, Wei-Che
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Feb2025
Online Access:	View this record in EBSCOhost