Oculomex provides an AI‑driven platform that analyzes retinal images and patient data to deliver immediate cardiovascular risk assessments, enabling early detection of conditions such as hypertension and atherosclerosis. By uploading retinal scans to a secure system, clinicians receive precise risk scores within seconds, allowing them to refer patients for personalized preventive care before symptoms appear. The solution leverages advanced algorithms to improve diagnostic accuracy and speed, supporting proactive heart health management.
Funding
Funding not disclosed
Founders
Product
Problem
Cardiovascular diseases often go undetected until symptoms appear, leading to emergency events such as heart attacks that could have been prevented with earlier intervention. Traditional risk assessments rely on indirect markers and may miss subtle vascular changes, resulting in delayed diagnosis and treatment.
Solution
Oculomex provides a cloud-based platform that uses artificial intelligence to analyze retinal images and basic patient data, generating a cardiovascular risk score within seconds. The system leverages the retina’s vascular patterns as a direct biomarker of systemic vascular health, identifying early signs of hypertension, atherosclerosis, and other heart‑related conditions. Clinicians upload a retinal scan and relevant patient information to a secure portal, where proprietary deep‑learning models evaluate vessel morphology and produce a quantitative risk assessment. The immediate results enable timely referrals to specialists for personalized preventive care, reducing the likelihood of severe cardiac events. By integrating this workflow into routine examinations, Oculomex enhances preventive cardiology without requiring additional invasive tests.
Target Audience
Primary users are primary care physicians, ophthalmologists, and cardiology clinics that perform retinal imaging and seek rapid, data‑driven cardiovascular risk assessments for their patients.
Features
- AI-powered analysis of retinal vessel geometry to detect early cardiovascular abnormalities
- Secure, web‑based upload of retinal images and patient metadata with results delivered in seconds
- Quantitative risk scoring calibrated against clinical outcomes for hypertension and atherosclerosis
- Automated referral recommendations that streamline patient routing to cardiology specialists
- Integration‑ready API for electronic health record (EHR) systems to incorporate risk scores into existing workflows
- Scalable cloud infrastructure ensuring high availability and data privacy compliance