Retrospective Evaluation of an Artificial Intelligence–Assisted Video Laryngoscope System for Tracheal Intubation in Infants and Neonates

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Authors: Kouki Fukuda, Hiroki Nakamura, Takahiko Asano, Tatsuhiko Masue
Cited by: 1
References: 6

Abstract

The data that support the findings of this study are available from the corresponding author upon reasonable request. File S1: Frame-level performance analysis. File S2: Confidence score analysis of the AI detection process in Video 41. Supporting Information Video 41: Representative video demonstrating AI-assisted laryngeal detection during tracheal intubation in an infant. The trajectory of the AI confidence score is displayed throughout the procedure. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Fields of Study & Subjects

Airway Management and Intubation Techniques Artificial Intelligence in Healthcare and Education Healthcare Technology and Patient Monitoring

Publication details

Journal / source
Pediatric Anesthesia
Publisher
Wiley
Volume
36
Issue
10
Pages
1316–1318
Publication date
3 July 2026
Language
EN