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Oral abstract
641 ARTIFICIAL INTELLIGENCE DYSPLASIA DETECTION (AIDD) ALGORITHM FOR BARRETT’S ESOPHAGUS
Gastrointestinal Endoscopy
Vol. 89Issue 6SupplementAB99–AB100Published in issue: June, 2019
- Rintaro Hashimoto
- Michael Lugo
- Daniel Mai
- Nabil E. Chehade
- Elise Tran
- Tyler Dao
- and others
Cited in Scopus: 0
The gold standard and most widely used approach for screening and surveillance of Barrett’s esophagus (BE) is esophagogastroduodenoscopy. However, the visual detection of early esophageal neoplasia (high grade dysplasia and T1 stage adenocarcinoma) in BE with white light and electronic virtual chromoendoscopy is still often difficult. The aim of this study is to assess if a convolutional neural artificial intelligence network can aid in the recognition of early esophageal neoplasia in BE.