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Use of automated quantitative pupillometric evaluation for monitoring the severity of diabetic retinopathy.

Veysel CankurtaranÇağrı İlhanKemal TekinMehmet ÇıtırıkEmre DiricanEren Gurkan
Published in: Arquivos brasileiros de oftalmologia (2021)
This study revealed that the measurements derived from automated pupillometry are altered in patients with type 2 diabetes mellitus. The presence of nonproliferative diabetic retinopathy does not have a negative effect on pupillometry findings, but with proliferative diabetic retinopathy, significant alterations were observed. These results suggest that using automated quantitative pupillometry may be useful in verifying the severity of diabetic retinopathy.
Keyphrases
  • diabetic retinopathy
  • optical coherence tomography
  • machine learning
  • deep learning
  • high throughput
  • high resolution
  • mass spectrometry