A novel artificial intelligence model for diagnosing Acanthamoeba keratitis through confocal microscopy.

Journal: The ocular surface
Published Date:

Abstract

PURPOSE: To develop an artificial intelligence (AI) model to diagnose Acanthamoeba keratitis (AK) based on in vivo confocal microscopy (IVCM) images extracted from the Heidelberg Retinal Tomograph 3 (HRT 3).

Authors

  • Omar Shareef
    School of Engineering and Applied Sciences, Harvard College, Cambridge, MA, 02138, USA; Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, 02114, USA.
  • Mohammad Soleimani
    Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Elmer Tu
    Department of Ophthalmology, Illinois Eye and Ear Infirmary, University of Illinois Chicago, Chicago, IL, 60612, USA.
  • Deborah S Jacobs
    Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, 02114, USA.
  • Joseph B Ciolino
    Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, 02114, USA.
  • Amir Rahdar
    Department of Telecommunication, Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran.
  • Kasra Cheraqpour
    Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Mohammadali Ashraf
    Department of Ophthalmology, Illinois Eye and Ear Infirmary, University of Illinois Chicago, Chicago, IL, 60612, USA.
  • Nabiha B Habib
    Michigan State University College of Human Medicine, Grand Rapids, MI, 49503, USA.
  • Jason Greenfield
    Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, 33136, USA.
  • Siamak Yousefi
    Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America.
  • Ali R Djalilian
    Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL, USA. adjalili@uic.edu.
  • Hajirah N Saeed
    Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, 02114, USA; Department of Ophthalmology, Illinois Eye and Ear Infirmary, University of Illinois Chicago, Chicago, IL, 60612, USA; Department of Ophthalmology, Loyola University Medical Center, Maywood, IL, 60153, USA. Electronic address: hnsaeed@uic.edu.