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.
Read Full ThesisAI-Powered Stroke Risk Stratification
Comprehensive review of retinal imaging and advanced modalities for cerebrovascular risk prediction.
Read Full ThesisAI-Powered Hypertension Subtyping
Unsupervised learning and multi-modal retinal imaging for discovering novel hypertension subtypes.
Read Full ThesisNon-Invasive Dehydration Detection
Ocular surface and tear film analysis for non-invasive dehydration assessment.
Read Full ThesisRetinal Age Gap & Parkinson's Disease
Retinal age gap as a biomarker for neurodegenerative disease, with a focus on Parkinson's.
Read Full Thesis