Tu1960 USING ARTIFICIAL INTELLIGENCE IN DIAGNOSIS OF ESOPHAGEAL SQUAMOUS CELL NEOPLASIA: A POST-HOC STUDY OF HIGH-RESOLUTION MICROENDOSCOPY (HRME) IMAGE INTERPRETATION

Tan, Mimi C.; Bhushan, Sheena; Patel, Kalpesh; Hammad, Tariq; Khan, Anam; Nathoo, Sunina; Sheikh, Rehman; Bernica, Jessica; Mallepally, Niharika; Zhang, Fan; Wang, Xueshan; Yu, Xiao; Li, Zhengi; Wang, Guiqi; Anandasabapathy, Sharmila

doi:10.1016/j.gie.2019.03.1104

Search citation statements

Order By: Relevance

Paper Sections

Select...

Limited Field Of View1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2020

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The same group also evaluated the accuracy of the software and its effect on the accuracy of post-hoc HRME image interpretation among endoscopists [69]. 218 high-quality HRME images from 150 biopsy sites from 130 consecutively enrolled patients were used for this study.…”

Section: Limited Field Of Viewmentioning

confidence: 99%

Progress and Challenges of Global High-Resolution Endoscopy

Bhushan¹,

Richards²,

Anandasabapathy³

2020

Int Arch Intern Med

View full text Add to dashboard Cite

In recent years, gastrointestinal endoscopy has seen an influx of high-resolution endoscopic technologies that are capable of providing optical biopsies of the epithelial surface in real time. Upcoming high-resolution endoscopy techniques are CLE, OCT, EC and HRME. Powered by automated diagnostic algorithms and more-cost effective alternatives, these high-resolution endoscopic technologies have the potential to not only facilitate real-time decision making, but also improve screening and surveillance of gastrointestinal cancers globally. This review discusses the most promising upcoming optical biopsy technologies and their clinical applications, along with the current trends, challenges and future directions.

show abstract

Section: Limited Field Of Viewmentioning

confidence: 99%