Artificial intelligence in bone age assessment: accuracy and efficiency of a novel fully automated algorithm compared to the Greulich-Pyle method

BACKGROUND: Bone age (BA) assessment performed by artificial intelligence (AI) is of growing interest due to improved accuracy, precision and time efficiency in daily routine. The aim of this study was to investigate the accuracy and efficiency of a novel AI software version for automated BA assessm...

Descripción completa

Detalles Bibliográficos
Autores principales: Booz, Christian, Yel, Ibrahim, Wichmann, Julian L., Boettger, Sabine, Al Kamali, Ahmed, Albrecht, Moritz H., Martin, Simon S., Lenga, Lukas, Huizinga, Nicole A., D’Angelo, Tommaso, Cavallaro, Marco, Vogl, Thomas J., Bodelle, Boris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987270/
https://www.ncbi.nlm.nih.gov/pubmed/31993795
http://dx.doi.org/10.1186/s41747-019-0139-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987270/
https://www.ncbi.nlm.nih.gov/pubmed/31993795
http://dx.doi.org/10.1186/s41747-019-0139-9

Ejemplares similares