Implementation of artificial intelligence in upper gastrointestinal endoscopy

Nagao, Sayaka; Tani, Yasuhiro; Shibata, Junichi; Tsuji, Yosuke; Tada, Takeshi; Ishihara, Ryu; Fujishiro, Mitsuhiro

doi:10.1002/deo2.72

Cited by 3 publications

(2 citation statements)

References 82 publications

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“…The importance of early detection of dysplasia and carcinoma in BE is in the outcome and different therapeutic modalities. Specifically, advanced EAC has a poor prognosis and requires invasive treatment (most often surgical treatment), while earlier stages of the disease (stage T1) allow endoscopic resection [ 13 , 19 , 20 ].…”

Section: Barrett’s Esophagus and Esophageal Adenocarcinomamentioning

confidence: 99%

“…The application of dye chromoendoscopy with Lugol’s solution is particularly significant, which enables easier detection of esophageal squamous dysplasia [ 32 ]. Staining with Lugol’s solution enables the demarcation of the altered mucosa of the esophagus, because the mucosa containing early ESCC is not stained with this solution and due to glycogen depletion [ 19 ]. Although this method of dye chromoendoscopy represents the “gold standard” in the diagnosis of early squamous cell neoplasia, with a high sensitivity (over 90%), the specificity of this method is about 70% [ 5 ].…”

Section: Esophageal Squamous Cell Carcinoma (Escc)mentioning

confidence: 99%

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The Importance of Artificial Intelligence in Upper Gastrointestinal Endoscopy

Popovic,

Glisic,

Milosavljevic

et al. 2023

Diagnostics

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Recently, there has been a growing interest in the application of artificial intelligence (AI) in medicine, especially in specialties where visualization methods are applied. AI is defined as a computer’s ability to achieve human cognitive performance, which is accomplished through enabling computer “learning”. This can be conducted in two ways, as machine learning and deep learning. Deep learning is a complex learning system involving the application of artificial neural networks, whose algorithms imitate the human form of learning. Upper gastrointestinal endoscopy allows examination of the esophagus, stomach and duodenum. In addition to the quality of endoscopic equipment and patient preparation, the performance of upper endoscopy depends on the experience and knowledge of the endoscopist. The application of artificial intelligence in endoscopy refers to computer-aided detection and the more complex computer-aided diagnosis. The application of AI in upper endoscopy is aimed at improving the detection of premalignant and malignant lesions, with special attention on the early detection of dysplasia in Barrett’s esophagus, the early detection of esophageal and stomach cancer and the detection of H. pylori infection. Artificial intelligence reduces the workload of endoscopists, is not influenced by human factors and increases the diagnostic accuracy and quality of endoscopic methods.

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Section: Barrett’s Esophagus and Esophageal Adenocarcinomamentioning

confidence: 99%