Author:
Ortiz Gabriela Xavier,Ulbrich Ana Helena Dias Pereira dos Santos,Lenhart Gabriele,dos Santos Henrique Dias Pereira,Schwambach Karin Hepp,Becker Matheus William,Blatt Carine Raquel
Abstract
The application of artificial intelligence (AI) in gastrointestinal endoscopy has gained significant traction over the last decade. One of the more recent applications of AI in this field includes the detection of dysplasia and cancer in Barrett’s esophagus (BE). AI using deep learning methods has shown promise as an adjunct to the endoscopist in detecting dysplasia and cancer. Apart from visual detection and diagnosis, AI may also aid in reducing the considerable interobserver variability in identifying and distinguishing dysplasia on whole slide images from digitized BE histology slides. This review aims to provide a comprehensive summary of the key studies thus far as well as providing an insight into the future role of AI in Barrett’s esophagus.
Publisher
Baishideng Publishing Group Inc.
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference62 articles.
1. World Health Organization. COVID-19 Dashboard. Geneva: World Health Organization, 2020 [cited 30 April 2022]. Available from: https://covid19.who.int/
2. Extrapulmonary manifestations of COVID-19
3. Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area
4. Prevalence of comorbidities in patients and mortality cases affected by SARS-CoV2: a systematic review and meta-analysis
5. National Institutes of Health. COVID-19 Treatment Guidelines Panel. Coronavirus Disease 2019 (COVID-19) Treatment Guidelines. National Institutes of Health, 2022 [cited April 30, 2022]. Available from: https://www.covid19treatmentguidelines.nih.gov/