Automatic Diagnosis of Spinal Disorders on Radiographic Images: Leveraging Existing Unstructured Datasets With Natural Language Processing

STUDY DESIGN: Retrospective study. OBJECTIVES: Huge amounts of images and medical reports are being generated in radiology departments. While these datasets can potentially be employed to train artificial intelligence tools to detect findings on radiological images, the unstructured nature of the re...

Descripción completa

Detalles Bibliográficos
Autores principales: Galbusera, Fabio, Cina, Andrea, Bassani, Tito, Panico, Matteo, Sconfienza, Luca Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416592/
https://www.ncbi.nlm.nih.gov/pubmed/34219477
http://dx.doi.org/10.1177/21925682211026910

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416592/
https://www.ncbi.nlm.nih.gov/pubmed/34219477
http://dx.doi.org/10.1177/21925682211026910

Ejemplares similares