Predicting Malignancy in Pediatric Thyroid Nodules: Early Experience With Machine Learning for Clinical Decision Support

OBJECTIVE: To develop a machine learning tool to integrate clinical data for the prediction of non-benign thyroid cytology and histology. CONTEXT: Papillary thyroid carcinoma is the most common endocrine malignancy. Since most nodules are benign, the challenge for the clinician is to identify those...

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Detalles Bibliográficos
Autores principales: Radebe, Lebohang, van der Kaay, Daniëlle C M, Wasserman, Jonathan D, Goldenberg, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Online Only Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8824766/
https://www.ncbi.nlm.nih.gov/pubmed/34160618
http://dx.doi.org/10.1210/clinem/dgab435

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8824766/
https://www.ncbi.nlm.nih.gov/pubmed/34160618
http://dx.doi.org/10.1210/clinem/dgab435

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