Artificial Intelligence to Differentiate Pediatric Pseudopapilledema and True Papilledema on Fundus Photographs

Melinda Y. Chang, MD; Gena Heidary, MD, PhD; Shannon Beres, MD; Stacy L. Pineles, MD; Eric D. Gaier, MD, PhD; Ryan Gise, MD; Mark Reid, PhD; Kleanthis Avramidis, MEng; Mohammad Rostami, PhD; Shrikanth Narayanan, PhD

Ophthalmology Science (Jul 2024)

Artificial Intelligence to Differentiate Pediatric Pseudopapilledema and True Papilledema on Fundus Photographs

Melinda Y. Chang, MD,
Gena Heidary, MD, PhD,
Shannon Beres, MD,
Stacy L. Pineles, MD,
Eric D. Gaier, MD, PhD,
Ryan Gise, MD,
Mark Reid, PhD,
Kleanthis Avramidis, MEng,
Mohammad Rostami, PhD,
Shrikanth Narayanan, PhD

Affiliations

Melinda Y. Chang, MD: Division of Ophthalmology, Children’s Hospital Los Angeles, Los Angeles, California; Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, California; Correspondence: Melinda Y. Chang, MD, Department of Ophthalmology, Children’s Hospital Los Angeles, Roski Eye Institute, Keck School of Medicine at the University of Southern California, 4650 Sunset Blvd. MS #88, Los Angeles, CA 90027.
Gena Heidary, MD, PhD: Department of Ophthalmology, Boston Children’s Hospital, Boston, Massachusetts; Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts
Shannon Beres, MD: Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, California
Stacy L. Pineles, MD: Department of Ophthalmology, Stein Eye Institute, University of California, Los Angeles, Los Angeles, California
Eric D. Gaier, MD, PhD: Department of Ophthalmology, Boston Children’s Hospital, Boston, Massachusetts; Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts
Ryan Gise, MD: Department of Ophthalmology, Boston Children’s Hospital, Boston, Massachusetts; Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts
Mark Reid, PhD: Division of Ophthalmology, Children’s Hospital Los Angeles, Los Angeles, California
Kleanthis Avramidis, MEng: Viterbi School of Engineering, University of Southern California, Los Angeles, California
Mohammad Rostami, PhD: Viterbi School of Engineering, University of Southern California, Los Angeles, California; Information Sciences Institute, University of Southern California, Los Angeles, California
Shrikanth Narayanan, PhD: Viterbi School of Engineering, University of Southern California, Los Angeles, California; Information Sciences Institute, University of Southern California, Los Angeles, California

Journal volume & issue: Vol. 4, no. 4
p. 100496

Abstract

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Purpose: To develop and test an artificial intelligence (AI) model to aid in differentiating pediatric pseudopapilledema from true papilledema on fundus photographs. Design: Multicenter retrospective study. Subjects: A total of 851 fundus photographs from 235 children (age 90% sensitivity at detecting papilledema, superior to human experts. Due to the high sensitivity and low false negative rate, AI may be useful to triage children with suspected papilledema requiring work-up to evaluate for serious underlying neurologic conditions. Financial Disclosure(s): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Published in Ophthalmology Science

ISSN: 2666-9145 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Ophthalmology
Website: https://www.journals.elsevier.com/ophthalmology-science/

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Abstract

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