Mask R-CNN based multiclass segmentation model for endotracheal intubation using video laryngoscope

OBJECTIVE: Endotracheal intubation (ETI) is critical to secure the airway in emergent situations. Although artificial intelligence algorithms are frequently used to analyze medical images, their application to evaluating intraoral structures based on images captured during emergent ETI remains limit...

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Detalles Bibliográficos
Autores principales: Choi, Seung Jae, Kim, Dae Kon, Kim, Byeong Soo, Cho, Minwoo, Jeong, Joo, Jo, You Hwan, Song, Kyoung Jun, Kim, Yu Jin, Kim, Sungwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631336/
https://www.ncbi.nlm.nih.gov/pubmed/38025115
http://dx.doi.org/10.1177/20552076231211547

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631336/
https://www.ncbi.nlm.nih.gov/pubmed/38025115
http://dx.doi.org/10.1177/20552076231211547

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