Comparison of Artificial Intelligence with other interventions to improve Adenoma Detection Rate for Colonoscopy:
A Network Meta-analysis
DOI:
https://doi.org/10.46570/utjms.vol11-2023-652Keywords:
Gastroenterology, ResearchAbstract
Please view the PDF to see the formatted meeting abstract.
Downloads
Published
2023-05-03
Issue
Section
Dr. Lance D. Dworkin Department of Medicine Research Symposium
License
Copyright (c) 2023 Muhammad Aziz
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
How to Cite
1.
Comparison of Artificial Intelligence with other interventions to improve Adenoma Detection Rate for Colonoscopy: : A Network Meta-analysis. Translation. 2023;11(1). doi:10.46570/utjms.vol11-2023-652
