A Comprehensive Review of Artificial Intelligence Applications in Major Retinal Conditions

no code implementations • 22 Nov 2023 • Hina Raja, Taimur Hassan, Bilal Hassan, Muhammad Usman Akram, Hira Raja, Alaa A Abd-alrazaq, Siamak Yousefi, Naoufel Werghi

This paper provides a systematic survey of retinal diseases that cause visual impairments or blindness, emphasizing the importance of early detection for effective treatment.

Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology

no code implementations • 31 Aug 2023 • Hina Raja, Asim Munawar, Mohammad Delsoz, Mohammad Elahi, Yeganeh Madadi, Amr Hassan, Hashem Abu Serhan, Onur Inam, Luis Hermandez, Sang Tran, Wuqas Munir, Alaa Abd-Alrazaq, Hao Chen, SiamakYousefi

Moreover, the extendibility of the model to other scientific fields broadens its impact in facilitating research and trend analysis across diverse disciplines.

Zero-Shot Learning

Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression

1 code implementation • 8 Oct 2020 • Hina Raja, Taimur Hassan, Muhammad Usman Akram, Naoufel Werghi

Significance: An RGC-aware system not only screens glaucoma but can also grade its severity and here we present an end-to-end solution that is thoroughly evaluated on a standardized dataset and is clinically validated for analyzing glaucomatous pathologies.