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

• URL: http://arxiv.org/abs/2402.07118v2
• Date: Wed, 7 Aug 2024 13:14:00 GMT
• Title: Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding Remote Smartphone-based Consultation
• Authors: Dhruv Srikanth, Jayang Gurung, N Satya Deepika, Vineet Joshi, Lopamudra Giri, Pravin Vaddavalli, Soumya Jana,
• Abstract summary: We propose an AI-based quality assessment system with instant feedback mimicking clinicians' judgments and tested on patient-captured images. Blindness and other eye diseases are a global health concern, particularly in low- and middle-income countries like India.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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