Detect Critical ROP, and Plus Disease. Anytime, Anywhere

ROP AI allows technicians to quickly identify referable ROP and Plus Disease without needing internet or specialist access, enabling immediate actions that reduce the risk of blindness in premature infants.

Seamless, Secure, and Fully Offline

Screen anywhere with deep learning–powered AI that runs without internet. One-click reports and lesion heatmaps make it easy to spot ROP cases—fast, secure, and accessible in any setting.

Enhanced Visualization, and Clarity

AI-generated class activation maps and post-processing enhance lesion visibility, even in low-quality images, helping Optometrists and Ophthalmologists quickly identify areas of concern.

See More. Do More

The Dual AI engine enhances image quality and guides framing, while heatmaps highlight abnormalities enabling precise detection even in low-quality captures, with minimal user effort.

Reduce Review Time. Expand Screening Reach

By instantly flagging non-referable cases, ROP AI reduces specialist review time, enabling faster triage, higher screening output, and broader NICU coverage without compromising care

Clinically Validated & Trusted

Validated in peer-reviewed research and real-world NICU settings, the AI is a proven, reliable decision-support tool for early, evidence-based ROP screening.
(Vinekar et al, Frontiers pediatrics 2023)

Value

95% of CI

Sensitivity

100%

93.02 – 100 %

Specificity

93.7%

86.2 – 94.76 %

Accuracy

93 %

89.04 – 95.87 %

Frontiers | Development and validation of an artificial intelligence based screening tool for detection of retinopathy of prematurity in a South Indian population