Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding
  Remote Smartphone-based Consultation
Dhruv Srikanth Jayang Gurung N Satya Deepika Vineet Joshi Pravin Vaddavalli Soumya Jana
Blindness and other eye diseases are a global health concern, particularly in
low- and middle-income countries like India. In this regard, during the
COVID-19 pandemic, teleophthalmology became a lifeline, and the Grabi
attachment for smartphone-based eye imaging gained in use. However, quality of
user-captured image often remained inadequate, requiring clinician vetting and
delays. In this backdrop, we propose an AI-based quality assessment system with
instant feedback mimicking clinicians' judgments and tested on patient-captured
images. Dividing the complex problem hierarchically, here we tackle a
nontrivial part, and demonstrate a proof of the concept.