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Implementation of deep learning artificial intelligence in vision-threatening disease screenings for an underserved community during COVID-19.

Aretha ZhuPriya TailorRashika VermaIsis ZhangBrian SchottCatherine YeBernard SzirthMiriam HabielAlbert S Khouri
Published in: Journal of telemedicine and telecare (2023)
Deep learning artificial intelligence can increase the efficiency and accessibility of vision-threatening disease screenings, particularly in underserved communities. Deep learning artificial intelligence should be adaptable to different environments. Consideration should be given to how deep learning artificial intelligence can best be utilized in a real-world application, whether in computer-aided or autonomous diagnosis.
Keyphrases
  • artificial intelligence
  • deep learning
  • big data
  • convolutional neural network
  • machine learning
  • healthcare
  • mental health
  • quality improvement