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Implementation of artificial intelligence in upper gastrointestinal endoscopy.

Sayaka Nagao^1,2, Yasuhiro Tani³, Junichi Shibata⁴

¹Department of Gastroenterology Graduate School of Medicine the University of Tokyo Tokyo Japan.

|July 25, 2022

Summary

Artificial intelligence (AI) shows great promise in detecting early cancers in the esophagus and stomach using deep learning. These AI tools can aid physicians, improving diagnostic accuracy and reducing workload in gastrointestinal endoscopy.

Keywords:

adenocarcinoma of the esophagus artificial intelligence esophageal squamous cell carcinoma pharyngeal neoplasms stomach neoplasms

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Area of Science:

Gastroenterology
Medical Imaging
Artificial Intelligence

Background:

Deep learning-based artificial intelligence (AI) is increasingly applied in esophagogastric endoscopy.
Existing AI tools show potential in detecting and differentiating early gastric cancer from various endoscopic images.

Purpose of the Study:

To review the current applications of AI in upper gastrointestinal endoscopy.
To discuss the implementation of AI in clinical practice and identify future research directions.

Main Methods:

Review of recent studies on AI applications in esophagogastric endoscopy.
Analysis of AI performance in detecting and diagnosing early gastric, esophageal, and pharyngeal cancers.

Main Results:

AI tools demonstrate promising accuracy in detecting early gastric cancer, comparable to endoscopy specialists.
AI systems show high sensitivity in diagnosing pharyngeal cancer.
AI can potentially predict the depth of early gastric cancer from endoscopic images.

Conclusions:

AI applications in upper gastrointestinal endoscopy are rapidly advancing.
Clinical implementation of AI can significantly reduce physician burden and improve diagnostic outcomes.
Further research is needed to optimize AI integration into routine clinical practice.