Identification of difficult laryngoscopy using an optimized hybrid architecture.

XiaoXiao LiuColin FlanaganGang LiYiming LeiLiaoyuan ZengJingchao FangXiangyang GuoSean McGrathYongzheng Han

Published in: BMC medical research methodology (2024)

Ethics permission for this research was obtained from the Medical Scientific Research Ethics Committee of Peking University Third Hospital (IRB00006761-2015021) on 30 March 2015. A well-informed agreement has been received from all participants. Patients were enrolled in this research at the Chinese Clinical Trial Registry ( http://www.chictr.org.cn , identifier: ChiCTR-ROC-16008598) on 6 June 2016.

Keyphrases

clinical trial
public health
healthcare
end stage renal disease
ejection fraction
newly diagnosed
big data
prognostic factors
squamous cell carcinoma
randomized controlled trial
global health
artificial intelligence
patient reported
deep learning
drug induced