Clinical Validation of an Artificial Intelligence Model for Detecting Distal Radius, Ulnar Styloid, and Scaphoid Fractures on Conventional Wrist Radiographs

This study aimed to assess the feasibility and performance of an artificial intelligence (AI) model for detecting three common wrist fractures: distal radius, ulnar styloid process, and scaphoid. The AI model was trained with a dataset of 4432 images containing both fractured and non-fractured wrist...

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Detalles Bibliográficos
Autores principales: Lee, Kyu-Chong, Choi, In Cheul, Kang, Chang Ho, Ahn, Kyung-Sik, Yoon, Heewon, Lee, Jae-Joon, Kim, Baek Hyun, Shim, Euddeum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178713/
https://www.ncbi.nlm.nih.gov/pubmed/37175048
http://dx.doi.org/10.3390/diagnostics13091657

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178713/
https://www.ncbi.nlm.nih.gov/pubmed/37175048
http://dx.doi.org/10.3390/diagnostics13091657

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