Classifying and Predicting Surgical Complications After Laryngectomy: A Novel Approach to Diagnosing and Treating Patients

Objectives: The total laryngectomy is one of the most standardized major surgical procedures in otolaryngology. Several studies have proposed the Clavien-Dindo classification (CDC) as a solution to classifying postoperative complications into 5 grades from less severe to severe. Yet more data on cla...

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Veröffentlicht in:	Ear, nose, & throat journal Jg. 103; H. 1; S. NP53 - NP59
Hauptverfasser:	Koenen, Lukas, Arens, Philipp, Olze, Heidi, Dommerich, Steffen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Los Angeles, CA SAGE Publications 01.01.2024 SAGE PUBLICATIONS, INC
Schlagworte:	Machine learning Medical diagnosis Patients Squamous cell carcinoma Surgery Surgical outcomes postoperative complications Clavien-Dindo classification machine learning total laryngectomy artificial intelligence
ISSN:	0145-5613, 1942-7522, 1942-7522
Online-Zugang:	Volltext
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