Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding Remote Smartphone-based Consultation
<|reference_start|>Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding Remote Smartphone-based Consultation: 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.<|reference_end|>
@article{srikanth2024next-generation,
    title={Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding
  Remote Smartphone-based Consultation},
    author={Dhruv Srikanth, Jayang Gurung, N Satya Deepika, Vineet Joshi,
  Lopamudra Giri, Pravin Vaddavalli, Soumya Jana},
    journal={arXiv preprint arXiv:2402.07118},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.07118},
    primaryClass={cs.HC cs.AI cs.LG eess.IV eess.SP}
}