Machine learning in GI endoscopy: practical guidance in how to interpret a novel field

There has been a vast increase in GI literature focused on the use of machine learning in endoscopy. The relative novelty of this field poses a challenge for reviewers and readers of GI journals. To appreciate scientific quality and novelty of machine learning studies, understanding of the technical...

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Detalles Bibliográficos
Autores principales: van der Sommen, Fons, de Groof, Jeroen, Struyvenberg, Maarten, van der Putten, Joost, Boers, Tim, Fockens, Kiki, Schoon, Erik J, Curvers, Wouter, de With, Peter, Mori, Yuichi, Byrne, Michael, Bergman, Jacques J G H M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Recent Advances in Clinical Practice
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7569393/
https://www.ncbi.nlm.nih.gov/pubmed/32393540
http://dx.doi.org/10.1136/gutjnl-2019-320466

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7569393/
https://www.ncbi.nlm.nih.gov/pubmed/32393540
http://dx.doi.org/10.1136/gutjnl-2019-320466

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