The world's first deep-learning system that closes the entire loop of care — CNNs read the scan like a senior radiologist, an NLP engine explains it like a friend, and it alerts the right hospital so the ER is ready before the patient walks in. In 12 seconds.
Across India, medical images queue for hours while disease stays silent. CardioLens gives every hospital a second set of trained eyes — for any scan, instantly.
Scroll to take the heart apart — layer by layer.
Drop your own image or run a preloaded case — chest, ECG, head CT, brain MRI, bone or mammogram. A full deep-analysis sequence runs in front of you.
or click to browse — never leaves your device
SHAP attribution · red → disease, cyan → normal
A grounded NLP layer answers in plain language from the CNN's detected findings and clinical guidance — with a cited source on every answer.
CardioLens doesn't just find the nearest hospital — it scores each one live on specialist match, free ICU beds, cath-lab status, ER wait and travel time, then routes to the smartest choice and notifies their ER before you arrive.
The world’s first city-scale medical mission control — every bed, ICU, admission, blood unit and emerging outbreak, streaming live on one screen.
Real clinical firepower — powered by deep learning (CNN) + NLP, many of them world firsts — spanning detection, explainability, triage, referral, city command and reporting.
Every case flows through the five stages a production radiology-AI system uses.
Normalization, windowing, orientation & de-identification.
ResNet-50 multi-label head across all modalities.
Region heatmaps & attribution for every label.
CNN findings → NLP plain-language, multilingual reports + Q&A.
Risk scoring, guidance & referral.
Demo authentication · data stays in your browser