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Smartphone Ophthalmoscopy: is there a place for it?

Amar Pujari
Published in: Clinical ophthalmology (Auckland, N.Z.) (2021)
Smartphone technology is advancing at a rapid pace. Their role in day-to-day life is becoming more and more intricate and irreplaceable. Of late, they have gained immense importance in different medical specialities where they possess an active ability to guide the clinician. This is particularly evident in ophthalmology, where the constantly evolving camera-illumination systems and the artificial intelligence integrated technology have unravelled many novel observations for non-contact posterior segment imaging. The scope of this review is to highlight the role of smartphones as ophthalmoscopes (direct as well as indirect). Nevertheless, their limitations and future directions are also stated here with the intention of making progress in the field of smartphone fundus imaging.
Keyphrases
  • artificial intelligence
  • machine learning
  • high resolution
  • big data
  • deep learning
  • healthcare
  • convolutional neural network
  • current status
  • diabetic retinopathy
  • optical coherence tomography
  • photodynamic therapy