Artificial Intelligence and Deep Learning in Ophthalmology

Artificial intelligence (AI) based on deep learning (DL) ) has attracted a lot of attention internationally recently. DL is only now starting to have an impact on healthcare. DL has been widely embraced in image recognition, speech recognition, and natural language processing. To detect diabetic retinopathy, retinopathy of prematurity, the glaucoma-like disc, macular oedema, and age-related macular degeneration, DL has been used to fundus images, optical coherence tomography, and visual fields in ophthalmology.  For patients in primary care and community settings, using DL in ocular imaging in conjunction with telemedicine may be a viable option for screening, diagnosing, and monitoring major eye diseases.

  • Fundus Photographs
  • Optical Coherence
  • Tomography and Visual Field
  • Ocular Imaging

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