Clinical evaluation of a real-time artificial intelligence-based polyp detection system: a US multi-center pilot study

Artificial intelligence (AI) has increasingly been employed in multiple fields, and there has been significant interest in its use within gastrointestinal endoscopy. Computer-aided detection (CAD) can potentially improve polyp detection rates and decrease miss rates in colonoscopy. However, few clin...

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Detalles Bibliográficos
Autores principales: Quan, Susan Y., Wei, Mike T., Lee, Jun, Mohi-Ud-Din, Raja, Mostaghim, Radman, Sachdev, Ritu, Siegel, David, Friedlander, Yishai, Friedland, Shai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023509/
https://www.ncbi.nlm.nih.gov/pubmed/35449442
http://dx.doi.org/10.1038/s41598-022-10597-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023509/
https://www.ncbi.nlm.nih.gov/pubmed/35449442
http://dx.doi.org/10.1038/s41598-022-10597-y

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