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arXiv · 2402.07118

Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding Remote Smartphone-based Consultation

Dhruv Srikanth·Jayang Gurung·N Satya Deepika·Vineet Joshi·Lopamudra Giri·Pravin Vaddavalli·Soumya Jana
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Abstract

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.

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Dhruv Srikanth, Jayang Gurung, N Satya Deepika, Vineet Joshi, Lopamudra Giri, Pravin Vaddavalli, Soumya Jana. 2024-02-11. Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding Remote Smartphone-based Consultation. https://arxiv.org/abs/2402.07118

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