How AI is Enhancing Diagnosis, Aiding Docs

Captured, often without the need for pupil dilation, and analyzed on-device. The AI then classifies cases as "referable" or "non-referable" and generates a heatmap-based report for clinician review.

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In trials, it showed 92-100% sensitivity and 87-92.6% specificity for DR detection, and similar accuracy for glaucoma.

"We see our AI as a screening ally, not a diagnostic authority," says Dr Shonraj Ballae Ganesh Rao, head of clinical research at Remidio. "Our goal now is to use the retina to screen for chronic conditions like cardiovascular and kidney disease at scale."

Speed, precision & scale From radiology to gastroenterology, AI's advantage lies in speed and precision. Apollo estimates that AI-assisted documentation alone saves 2-3 hours per clinician daily.

"Our clinical decision intelligence engine helps reduce time to diagnosis by surfacing relevant insights instantly," Dr Reddy explains. "It's already assisting in identifying next best actions for complex liver disease cases and early-stage fibrosis," she adds.

Interestingly, patients may not always realize that AI is involved in their care. "We don't overtly position AI in patient interactions," Dr Reddy says. "But as outcomes improve and diagnoses become more precise, trust builds organically. All data remains securely within our system."