Artificial intelligence (AI) vs. human in hip fracture detection

OBJECTIVE: This study aimed to assess the diagnostic accuracy and sensitivity of a YOLOv4-tiny AI model for detecting and classifying hip fractures types. MATERIALS AND METHODS: In this retrospective study, a dataset of 1000 hip and pelvic radiographs was divided into a training set consisting of 45...

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Detalles Bibliográficos
Autores principales: Twinprai, Nattaphon, Boonrod, Artit, Boonrod, Arunnit, Chindaprasirt, Jarin, Sirithanaphol, Wichien, Chindaprasirt, Prinya, Twinprai, Prin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634369/
https://www.ncbi.nlm.nih.gov/pubmed/36339768
http://dx.doi.org/10.1016/j.heliyon.2022.e11266

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634369/
https://www.ncbi.nlm.nih.gov/pubmed/36339768
http://dx.doi.org/10.1016/j.heliyon.2022.e11266

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