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Elmezzi Scholars · Active

Uveal melanoma screening from fundus photographs

A systematic review and meta-analysis of artificial intelligence that distinguishes uveal melanoma from benign nevus on fundus photographs, the basis for automated screening in ophthalmology.

Status
Active
Program
Elmezzi Scholars
Publications
1, latest 2026
Team
3 members

On this project

Effrosyni Birbas, MD

Elmezzi Scholar

Theofilos Kanavos, MD

Elmezzi Scholar

Theodoros Zanos, PhD

Professor & AVP

Publication

View in the index
Translational Vision Science & TechnologyJan 2026

Artificial Intelligence-Driven Differentiation Between Uveal Melanoma and Nevus Based on Fundus Photographs: A Systematic Review and Meta-Analysis

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More Elmezzi Scholar projects

Elmezzi Scholars

Sleep apnea screening in women

A machine learning approach to screening women for moderate-to-severe obstructive sleep apnea, a condition underdiagnosed in women because standard screening was built around male presentation.

Elmezzi Scholars

Predicting response to vagus nerve stimulation in drug-resistant epilepsy

Machine learning models can predict which patients with drug-resistant epilepsy will respond to vagus nerve stimulation therapy, achieving an average area under the receiver operating characteristic curve (AUROC) of 0.84 across 12 studies comprising 535 patients.

Elmezzi Scholars

Deep learning in pancreatic cancer and PET interpretation

Machine learning to predict completion of treatment for pancreatic cancer, and systematic reviews of deep learning for PET image interpretation and for pancreatic cancer care.