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

Autor:	Srikanth, Dhruv, Gurung, Jayang, Deepika, N Satya, Joshi, Vineet, Giri, Lopamudra, Vaddavalli, Pravin, Jana, Soumya
Rok vydání:	2024
Předmět:	Computer Science - Human-Computer Interaction Computer Science - Artificial Intelligence Computer Science - Machine Learning Electrical Engineering and Systems Science - Image and Video Processing Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: 4 pages, Presented at IEEE EMBC 2024
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2402.07118 Zobrazit plný text záznamu View this record from Arxiv