Automated Size Recognition in Pediatric Emergencies Using Machine Learning and Augmented Reality: Within-Group Comparative Study

BACKGROUND: Pediatric emergencies involving children are rare events, and the experience of emergency physicians and the results of such emergencies are accordingly poor. Anatomical peculiarities and individual adjustments make treatment during pediatric emergency susceptible to error. Critical mist...

Descripción completa

Detalles Bibliográficos
Autores principales: Schmucker, Michael, Haag, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491115/
https://www.ncbi.nlm.nih.gov/pubmed/34542416
http://dx.doi.org/10.2196/28345

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491115/
https://www.ncbi.nlm.nih.gov/pubmed/34542416
http://dx.doi.org/10.2196/28345

Ejemplares similares