Evaluation of an artificial intelligence-based system for real-time high-quality photodocumentation during esophagogastroduodenoscopy

Evaluation of an artificial intelligence-based system for real-time high-quality photodocumentation during esophagogastroduodenoscopy

Abstract Complete and high-quality photodocumentation in esophagoduodenogastroscopy (EGD) is essential for accurately diagnosing upper gastrointestinal diseases by reducing blind spot rates. Automated Photodocumentation Task (APT), an artificial intelligence-based system for real-time photodocumenta...

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Bibliographic Details
Main Authors: Byeong Yun Ahn, Junwoo Lee, Jeonga Seol, Ji Yoon Kim, Hyunsoo Chung
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Deep learning
Endoscopy
Quality control
Online Access:https://doi.org/10.1038/s41598-024-83721-9
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https://doi.org/10.1038/s41598-024-83721-9

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