Artificial Intelligence in the Characterization of Colorectal Polyps: A Prospective Study In a Clinical Setting Using Cadeye
2021; Thieme Medical Publishers (Germany); Linguagem: Inglês
10.1055/s-0041-1724680
ISSN1438-8812
AutoresCatarina Correia, Elisa Gravito‐Soares, Marta Gravito‐Soares, Pedro Amaro, C Macedo, Maria João Ferreira, Mônica de Souza Lima Sant’Anna, João Estorninho, Michael Miranda, L Barreto, AM Ferreira, Francisco Portela, R. Pimentel, Rui Caetano Oliveira, Joana Madeira, M Rui Silva, MA Cipriano, Pedro Figueiredo,
Tópico(s)Colorectal Cancer Surgical Treatments
ResumoAims Current guidelines recommend resection and histopathological analyses of all colorectal polyps. Real-time optical diagnosis can obviate non-neoplastic polyp resection (“diagnose-and-leave-behind”) and histopathological analyses of diminutive polyps (“predict-resect-and-discard”) reducing healthcare and cost burden. We aimed to evaluate the diagnostic accuracy of computer-aided diagnosis using CADEYE (Fujifilm, Germany) in real-time optical characterization of colorectal polyps compared to endoscopic diagnosis with histopathology as the gold-standard.
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