Using deep learning and explainable artificial intelligence to assess the severity of gastroesophageal reflux disease according to the Los Angeles Classification …

Z Ge, B Wang, J Chang, Z Yu, Z Zhou… - Scandinavian Journal …, 2023 - Taylor & Francis
Objectives Gastroesophageal reflux disease (GERD) is a complex disease with a high
worldwide prevalence. The Los Angeles classification (LA-grade) system is meaningful for …

Anatomical classification of pharyngeal and laryngeal endoscopic images using artificial intelligence

K Nakajo, Y Ninomiya, H Kondo, N Takeshita… - Head & …, 2023 - Wiley Online Library
Background The entire pharynx should be observed endoscopically to avoid missing
pharyngeal lesions. An artificial intelligence (AI) model recognizing anatomical locations can …

Using deep learning to assess the function of gastroesophageal flap valve according to the Hill classification system

Z Ge, Y Fang, J Chang, Z Yu, Y Qiao, J Zhang… - Annals of …, 2023 - Taylor & Francis
Abstract Background The endoscopic Hill classification of the gastroesophageal flap valve
(GEFV) is of great importance for understanding the functional status of the esophagogastric …

Applications of artificial intelligence in gastroscopy: a narrative review

H Chen, S Liu, S Huang, M Liu… - Journal of International …, 2024 - journals.sagepub.com
Gastroscopy, a critical tool for the diagnosis of upper gastrointestinal diseases, has recently
incorporated artificial intelligence (AI) technology to alleviate the challenges involved in …

[HTML][HTML] Application of artificial intelligence in gastrointestinal endoscopy

F Guo, H Meng - Arab Journal of Gastroenterology, 2024 - Elsevier
Endoscopy is an important method for diagnosing gastrointestinal (GI) diseases. In this
study, we provide an overview of the advances in artificial intelligence (AI) technology in the …

Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations

S Hicks, A Storås, MA Riegler, C Midoglu, M Hammou… - Plos one, 2024 - journals.plos.org
Deep learning has achieved immense success in computer vision and has the potential to
help physicians analyze visual content for disease and other abnormalities. However, the …

Influencia de la técnica de muestreo en los resultados microbiológicos obtenidos de endoscopios flexibles reprocesados

J Cerna-Cardona, R Campos-Jiménez, JM Bello-López… - Endoscopia, 2022 - scielo.org.mx
Introducción y objetivo: Este trabajo describe la importancia de adoptar métodos efectivos
de muestreo de endoscopios reprocesados para la detección de microorganismos …

[PDF][PDF] The AI Revolution: Transforming Upper Gastrointestinal Endoscopy

N Ganju, S Ganju, L Dominguez, A Meltzer - 2023 - hsrc.himmelfarb.gwu.edu
While Esophagogastroduodenoscopy (EGD) is the gold standard in diagnosing upper
gastrointestinal (UGI) disease, nearly 11.3% of UGI cancers are still missed on the initial …

[PDF][PDF] Wykorzystanie sztucznej inteligencji w analizie obrazów endoskopowych: Automatyczna detekcja zmian patologicznych

M Azierski, M Dróżdż, M Rojek - researchgate.net
Sztuczna inteligencja (SI) stanowi obiecującą perspektywę dla dziedziny medycznej
diagnostyki poprzez jej integrację w analizę endoskopową, co przynosi znaczące rezultaty …

Mobile Health technology in pediatric esophagogastroduodenoscopy quality indicators assessment: results from a national program of the Italian Society of Pediatric …

L Norsa, F Morotti, C Mantegazza, M Meroni… - Gastrointestinal …, 2024 - Elsevier
Background and aims Upper endoscopy procedures (UEP, esophagogastroduodenoscopy
[EGDS] and retrograde endoscopic retrograde cholangiography [ERCP]) are an established …