Real-Time Identification of Cricothyrotomy Landmarks in Emergency Care and Obstetric Patients Using Wireless Handheld Ultrasound and Edge-Computing Artificial Intelligence: A Prospective Observational Study.

This study aimed to develop machine learning-based algorithms to assist physicians in ultrasound-guided localization of the cricoid cartilage (CC), thyroid cartilage (TC), and cricothyroid membrane (CTM) for cricothyroidotomy. Adult female participants presenting to the emergency department with dys...

Full description

Bibliographic Details

Published in:	Journal of Medical Systems Vol. 49; no. 1; pp. 1 - 13
Main Authors:	Wu, Cheng-Yi, Li, Jia-Da, Shih, Po-Yuan, Huang, Cheng-Chia, Cheng, Hsiao-Liang, Wu, Chun-Yu, Tay, Joyce, Wu, Meng-Che, Wang, Chih-Hung, Chen, Chu-Song, Huang, Chien-Hua
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature 10/10/2025
Online Access:	View this record in EBSCOhost