Diagnostic Accuracy of Artificial Intelligence (AI) to Detect Early Neoplasia in Barrett's Esophagus: A Non-comparative Systematic Review and Meta-Analysis
Background and AimsArtificial Intelligence (AI) is rapidly evolving in gastrointestinal (GI) endoscopy. We undertook a systematic review and meta-analysis to assess the performance of AI at detecting early Barrett's neoplasia.MethodsWe searched Medline, EMBASE and Cochrane Central Register of c...
Main Authors: | Jin Lin Tan, Mohamed Asif Chinnaratha, Richard Woodman, Rory Martin, Hsiang-Ting Chen, Gustavo Carneiro, Rajvinder Singh |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-06-01
|
Series: | Frontiers in Medicine |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2022.890720/full |
Similar Items
-
Barrett’s Esophagus: An Updated Review
by: Peter M. Stawinski, et al.
Published: (2023-01-01) -
Evaluation of p53 protein expression in Barrett esophagus
by: Mahathi Krothapalli, et al.
Published: (2018-01-01) -
Impact of laparoscopic nissen fundoplication on non-Complicated Barrett′s esophagus
by: Ashraf A Mohamed, et al.
Published: (2011-01-01) -
Taking the Next Steps in Endoscopic Visual Assessment of Barrett’s Esophagus: A Pilot Study
by: Chis R, et al.
Published: (2021-04-01) -
Seattle Protocol Is More Effective in Detection of Dysplasia Compared to Technology-Assisted Targeted Biopsies in Patients with Barrett’s Esophagus
by: Noam Peleg, et al.
Published: (2023-03-01)