A novel artificial intelligence model for diagnosing Acanthamoeba keratitis through confocal microscopy,The Ocular Surface

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A novel artificial intelligence model for diagnosing Acanthamoeba keratitis through confocal microscopy
The Ocular Surface ( IF 5.9 ) Pub Date : 2024-07-29 , DOI: 10.1016/j.jtos.2024.07.010
Omar Shareef ₁ , Mohammad Soleimani ₂ , Elmer Tu ₃ , Deborah Jacobs ₄ , Joseph Ciolino ₄ , Amir Rahdar ₅ , Kasra Cheraqpour ₃ , Mohammadali Ashraf ₃ , Nabiha B Habib ₆ , Jason Greenfield ₇ , Siamak Yousefi ₅ , Ali R Djalilian ₃ , Hajirah N Saeed ₈

Affiliation

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.
Department of Ophthalmology, Illinois Eye and Ear Infirmary, University of Illinois Chicago, Chicago, IL, 60612, USA; Department of Ophthalmology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Department of Ophthalmology, Illinois Eye and Ear Infirmary, University of Illinois Chicago, Chicago, IL, 60612, USA.
Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, 02114, USA.
Department of Ophthalmology, The University of Tennessee Health Science Center, Memphis, TN, 38163, USA.
Michigan State University College of Human Medicine, Grand Rapids, MI, 49503, USA.
Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, 33136, USA.
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.

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).

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