Can an artificial intelligence powered software reliably assess pelvic radiographs?

PURPOSE: Despite advances of three-dimensional imaging pelvic radiographs remain the cornerstone in the evaluation of the hip joint. However, large inter- and intra-rater variabilities were reported due to subjective landmark setting. Artificial intelligence (AI)–powered software applications could...

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Detalles Bibliográficos
Autores principales: Schwarz, Gilbert M, Simon, Sebastian, Mitterer, Jennyfer A, Huber, Stephanie, Frank, Bernhard JH, Aichmair, Alexander, Dominkus, Martin, Hofstaetter, Jochen G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014709/
https://www.ncbi.nlm.nih.gov/pubmed/36799971
http://dx.doi.org/10.1007/s00264-023-05722-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014709/
https://www.ncbi.nlm.nih.gov/pubmed/36799971
http://dx.doi.org/10.1007/s00264-023-05722-z

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