Cargando…
External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules
BACKGROUND: Estimation of the risk of malignancy in pulmonary nodules detected by CT is central in clinical management. The use of artificial intelligence (AI) offers an opportunity to improve risk prediction. Here we compare the performance of an AI algorithm, the lung cancer prediction convolution...
Autores principales: | Baldwin, David R, Gustafson, Jennifer, Pickup, Lyndsey, Arteta, Carlos, Novotny, Petr, Declerck, Jerome, Kadir, Timor, Figueiras, Catarina, Sterba, Albert, Exell, Alan, Potesil, Vaclav, Holland, Paul, Spence, Hazel, Clubley, Alison, O'Dowd, Emma, Clark, Matthew, Ashford-Turner, Victoria, Callister, Matthew EJ, Gleeson, Fergus V |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7231457/ https://www.ncbi.nlm.nih.gov/pubmed/32139611 http://dx.doi.org/10.1136/thoraxjnl-2019-214104 |
Ejemplares similares
-
Development and validation of clinical prediction models to risk stratify patients presenting with small pulmonary nodules: a research protocol
por: Oke, Jason L., et al.
Publicado: (2018) -
Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules
por: Massion, Pierre P., et al.
Publicado: (2020) -
What characteristics of primary care and patients are associated with early death in patients with lung cancer in the UK?
por: O'Dowd, Emma L, et al.
Publicado: (2015) -
Reporting radiographers and their role in thoracic CT service improvement: managing the pulmonary nodule
por: Holland, Paul, et al.
Publicado: (2020) -
Geographical variations in the use of cancer treatments are associated with survival of lung cancer patients
por: Møller, Henrik, et al.
Publicado: (2018)