RadicalEye is an AI diagnostic software that analyses fundus images for medical signs or clinical features pertaining to hundreds of diseases, at one go.
RadicalEye detects with unprecedented accuracy medical signs that lead to differentials for diabetic retinopathy, glaucoma, macular degeneration, hypertensive retinopathy and several systemic and retinal diseases.
Plug and Play Integration with any fundus camera. Zero capex options if you want a new camera through OEM agreements.
Double blind clinical validation at Dr Shroff's Charity Eye Hospital, New Delhi, led by Dr Manisha Agarwal.
Sensitivity 99% Specificity 96%
In submission to JAMA
Millions of labelled fundus images. Trained on one of the world's largest datasets.
In use in private, non-profit and public sectors for hundreds of thousands of patients.
Massively scalable screening using complete automation. Works with low cost cameras and even relatively poor quality images. Used as first point of diagnostics for thousands of patients.
Efficient patient funnels. 44% reduction in redundancy and 400% jump in referrals. Reduces fatigue on general OPD, and allows early channeling of chronic retina patients to specialists.