Current and future directions for the use of handheld fundus cameras in telehealth.

Journal: Expert review of medical devices
Published Date:

Abstract

INTRODUCTION: A shortage of trained retinal specialists has created a growing need for a telehealth retinal screening alternative. Recent developments in handheld fundus cameras, enhanced by artificial intelligence (AI) and machine learning (ML) methods, have created a promising avenue to satisfy the unmet need for efficient retinal disease screening. This paper discusses the state of current handheld fundus cameras as well as promising future directions.

Authors

  • Sarah D Cleveland
    Department of Biomedical Engineering, University of Minnesota - Twin Cities, Minneapolis, Minnesota.
  • Mikayla J Baker
    Department of Biomedical Engineering, University of Minnesota - Twin Cities, Minneapolis, Minnesota.
  • Arthur G Erdman
    Department of Biomedical Engineering, University of Minnesota - Twin Cities, Minneapolis, Minnesota.
  • Hossein Nazari
    Department of Biomedical Engineering, University of Minnesota - Twin Cities, Minneapolis, Minnesota.