Glottic opening detection using deep learning for neonatal intubation with video laryngoscopy.

Journal: Journal of perinatology : official journal of the California Perinatal Association
PMID: 39537817

Abstract

OBJECTIVE: This study aimed to develop an artificial intelligence (AI) method to augment video laryngoscopy (VL) by automating the detection of the glottic opening in neonates, as a step toward future studies on improving intubation outcomes.

Authors

  • Abrar Majeedi
    Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
  • Patrick J Peebles
    Division of Neonatology, Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
  • Yin Li
    Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, People's Republic of China.
  • Ryan M McAdams
    Division of Neonatology, Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA. mcadams@pediatrics.wisc.edu.

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