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S259 Validation of a Machine Learning Algorithm to Measure Adenoma Detection Rate From Screening Colonoscopies in a Large Health System
Author(s) -
Artin Galoosian,
Camille Soroudi,
Shailavi Jain,
Sartajdeep Kahlon,
Megan R. McLeod,
Alex N. Kokaly,
Jamie O. Yang,
Emily Peterson,
Cleo K. Maehara,
Liu Yang,
V. Raman Muthusamy,
Eric Esrailian,
William Hsu,
Folasade May
Publication year - 2021
Publication title -
the american journal of gastroenterology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.907
H-Index - 252
eISSN - 1572-0241
pISSN - 0002-9270
DOI - 10.14309/01.ajg.0000773508.71234.2b
Subject(s) - medicine , colonoscopy , artificial intelligence , chart , gold standard (test) , machine learning , electronic health record , colorectal cancer , algorithm , natural language processing , radiology , health care , cancer , computer science , statistics , mathematics , economics , economic growth

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