Deep learning to assess laryngoscope insertion depth during neonatal intubation with video laryngoscopy
AI-enabled VL may support blade-insertion depth assessment and training. Given the rarity of deep events, conclusions about deep insertion and clinical impact are limited. Future multi-site studies should focus on clinical integration and assessing outcomes.
Authors
- Patrick J. Peebles (ORCID: https://orcid.org/0000-0002-9724-9456)
- Ryan M. McAdams (ORCID: https://orcid.org/0000-0002-9579-1698)
- Abrar Majeedi (ORCID: https://orcid.org/0000-0002-5615-5613)
- Yin Li (ORCID: https://orcid.org/0000-0003-4173-9453)
Institutions
- University of Wisconsin–Madison (US)
Publication Details
- Journal
- Journal of Perinatology
- Published
- 2025-10-27
- DOI
- https://doi.org/10.1038/s41372-025-02457-0
- Primary Topic
- Airway Management and Intubation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00