Ophthalmology: A Window to Systemic Disease

A Collection of Five Theses

Academic Year 2025 — Formal Research Compilation

By — Mrabet H. & Ghalmi A.N.E.

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Introduction

This page presents a curated selection of five research thesis topics at the intersection of ophthalmology and systemic disease. Each proposal has been rigorously researched, critically analyzed, and chosen for its scientific relevance and innovative potential. Our aim is to highlight how the eye, and particularly retinal imaging, can serve as a non-invasive window into broader systemic health, offering new perspectives for early detection, risk stratification, and disease monitoring. These topics reflect a multidisciplinary approach, bridging ophthalmology with neurology, cardiology, and internal medicine, and are grounded in the latest advances in artificial intelligence and biomedical research.

Thesis Abstracts

Explore our five key research areas. Click the button to read the full thesis.

Retinal Image-Based Osteoporosis Screening

State-of-the-art analysis of using retinal imaging for non-invasive osteoporosis risk assessment.

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AI-Powered Stroke Risk Stratification

Comprehensive review of retinal imaging and advanced modalities for cerebrovascular risk prediction.

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AI-Powered Hypertension Subtyping

Unsupervised learning and multi-modal retinal imaging for discovering novel hypertension subtypes.

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Non-Invasive Dehydration Detection

Ocular surface and tear film analysis for non-invasive dehydration assessment.

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Retinal Age Gap & Parkinson's Disease

Retinal age gap as a biomarker for neurodegenerative disease, with a focus on Parkinson's.

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