Artificial Intelligence Efficiently Identifies Regional Differences in the Progression of Tomographic Parameters of Keratoconic Corneas.

Journal: Journal of refractive surgery (Thorofare, N.J. : 1995)

Published Date: Apr 1, 2021

Abstract

PURPOSE: To develop an artificial intelligence (AI) model to effectively assess local versus global progression of keratoconus using multiple tomographic parameters.

Authors

Rohit Shetty
Gairik Kundu
Raghav Narasimhan
Pooja Khamar
Krati Gupta

School of Computing & Electrical Engineering, Indian Institute of Technology Mandi, Mandi, Himachal Pradesh, India. Electronic address: krati_gupta@students.iitmandi.ac.in.
Niharika Singh
Rudy M M A Nuijts
Abhijit Sinha Roy

Keywords

Artificial Intelligence Cornea Corneal Topography Humans Keratoconus Retrospective Studies

External Resources

View on PubMed Access via DOI PubMed (34038661)

Artificial Intelligence Efficiently Identifies Regional Differences in the Progression of Tomographic Parameters of Keratoconic Corneas.

Abstract

Authors

Keywords

External Resources

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