Software Analysis of Colonoscopy Videos Enhances Teaching and Quality Metrics

Purpose Machine learning algorithms were hypothesized as being able to predict the quality of colonoscopy luminal images. This is to enhance training and quality indicators in endoscopy. Methods A separate study involving a randomized controlled trial of capped vs. un-capped colonoscopies provided t...

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Detalles Bibliográficos
Autores principales: Rajan, Vasant, Srinath, Havish, Bong, Christopher Yii Siang, Cichowski, Alex, Young, Christopher J, Hewett, Peter J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2022
Materias:
Gastroenterology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001872/
https://www.ncbi.nlm.nih.gov/pubmed/35464512
http://dx.doi.org/10.7759/cureus.23039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001872/
https://www.ncbi.nlm.nih.gov/pubmed/35464512
http://dx.doi.org/10.7759/cureus.23039

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