Back to Search Start Over

Expert Performance in Visual Differentiation of Bacterial and Fungal Keratitis

Authors :
Phit Upaphong
Manoj Vasudevan
Naveen Rao
Nakul Shekhawat
Mohamed Elghobaier
Napaporn Tananuvat
Sayali Pradhan
Suvitha Selvaraj
Vishal Jhanji
Diana Alvarez-Melloni
John K G Dart
Mohammad H. Dastjerdi
Menen Ayalew
Alan Sugar
Chris Estopinal
Vasudha Panday
Gerami D. Seitzman
Sonal S. Tuli
Jodhbir S. Mehta
Camila Kase
Michael Mimouni
Neha Shaik
Tyson Kim
Stephen D. McLeod
Brandon J. Lujan
Muthiah Srinivasan
Tanya Trinh
Nisha R. Acharya
Matilda Chan
Anna Hovakimyan
Prajna Lalitha
Elsie Chan
Y.Y. Choong
J. Peter Campbell
Joseph G. Christenbury
David Spokes
Bart T.H. van Dooren
Josephine Christy
Christine Martinez
Ruti Sella
Divya Karthik
Maria A. Woodward
Afshan A. Nanji
Nikhil Gokhale
Ashwin Balasubramanian
Audrey Talley Rostov
Faris Karas
Nathan Nataneli
Revathi Rajaraman
Meenu Chaudhary
N. Venkatesh Prajna
Rafael Martínez-Costa
Jeremy D. Keenan
David Liang
Ying Qian
Preethika Gandhi
Thomas M. Lietman
Tiru Krishnan
Sathish Devarajan
Aaleya Koreishi
Anitha Venugopal
Matthew Denny
Colleen Halfpenny
David G. Hwang
Elizabeth Viriya
Jennifer Rose-Nussbaumer
Rossen M Hazarbassanov
Thomas Chia
Adam Moss
Travis Redd
John Clements
Natalie Hernandez
Julie M. Schallhorn
Tomas Jaeschke
James Chodosh
Frank S. Hwang
Chulaluck Tangmonkongvoragul
Lakshmi Kattana
Source :
Ophthalmology
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

This study quantifies the performance of an international cohort of cornea specialists in image-based differentiation of bacterial and fungal keratitis, identifying significant regional variation and establishing a reference standard for comparison against machine learning models.

Details

ISSN :
01616420
Volume :
129
Database :
OpenAIRE
Journal :
Ophthalmology
Accession number :
edsair.doi.dedup.....3f0c04212cd5868a22d5618eeeb2b804