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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Detalles Bibliográficos
Publicado en:Journal of Imaging Informatics in Medicine Vol. 38; no. 1; pp. 31 - 47
Autores principales: Lu, Chia-Yin, Wang, Yu-Hsin, Chen, Hsiu-Ling, Goh, Yu-Xin, Chiu, I-Min, Hou, Ya-Yuan, Kuo, Kuei-Hong, Lin, Wei-Che
Formato: diagnostic images research tables/charts Journal Article
Publicado: Springer Nature Feb2025
Acceso en línea:Ver este registro en EBSCOhost