A ubiquitous and interoperable deep learning model for automatic detection of pleomorphic gastroesophageal lesions

A ubiquitous and interoperable deep learning model for automatic detection of pleomorphic gastroesophageal lesions

Abstract In recent years, artificial intelligence (AI) has been widely explored to enhance capsule endoscopy (CE), with the goal of improving the efficiency of the reading process. While most AI models have been developed for small bowel and colon analysis, the development of esophagogastric (E-G) m...

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Bibliographic Details
Main Authors: Miguel Martins, Miguel José Mascarenhas, Maria João Almeida, João Afonso, Tiago Ribeiro, Pedro Cardoso, Francisco Mendes, Joana Mota, Patrícia Andrade, Hélder Cardoso, Miguel Mascarenhas-Saraiva, João Ferreira, Guilherme Macedo
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Capsule endoscopy
Panendoscopy
Artificial intelligence
Esophageal lesions
Gastric lesions
Online Access:https://doi.org/10.1038/s41598-025-03397-7
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https://doi.org/10.1038/s41598-025-03397-7

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