In silico
Cardiovascular Disease Risk Assessment from Retinal Fundus Images Using a CSP-ConvNext Model

Diagnostics
Abstract
Background/Objectives: Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, making early identification of individuals at elevated cardiovascular risk essential for preventing major adverse cardiac events (MACE).
The paper
Sona College of Technology · UiT The Arctic University of Norway
Diagnostics · 20 Sep 2026 · CC BY
