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Coronary risk, mapped to the heart: per-vessel CAD prediction on an interactive 3D heart, with SHAP explanations, uncertainty and an honest "uncertain: refer".
Turn satellite change into auditable flood evidence: native radar and optical maps, explicit unknowns, and road-access proofs that show which route conclusions survive uncertainty.
CardioMap 3D turns cardiac risk predictions into an interactive 3D heart, making coronary artery disease visual, explainable, and actionable.
Radar satellites map a Himalayan flood through monsoon cloud, then answer the question that moves rescue teams: which villages just lost their road to a hospital, and which bridge fails next.
Maps multi-vessel stenosis onto interactive 3D WebGL meshes, validated by a multi-modal Byzantine consensus matrix and secured via zero-knowledge privacy circuits.
See the Risk. Understand the Heart. Predicts CAD and per-vessel (LAD/LCX/RCA) stenosis risk from clinical data, explains it with SHAP, and shows it on an interactive 3D heart.
Predicting cardiovascular risks with AI and visualizing heart health through interactive 3D technology for smarter clinical insights.
Hear the difference. See the evidence. Browser-local AI turns same-transcript speech comparisons into timed, explainable practice feedback—with a 90-case dataset and transparent evaluation.
Enter 54 clinical measurements and CardioVision predicts CAD, LAD, LCX and RCA risk, paints it on an interactive 3D heart, and shows which inputs drove each result.
Interactive 3D heart that maps CAD, LAD, LCX, and RCA risk probabilities from one clinical record.
Explore the heart. Understand the prediction.
An AI agent that uses a computer the way a real person does: human mouse movements, typing with typos and pauses, reading, browsing and writing documents.
Enter 55 routine clinical measurements and see calibrated CAD and per-artery (LAD/LCX/RCA) stenosis risk on an interactive 3D heart, with SHAP explanations and live what-if updates.
Predicts coronary artery disease and LAD, LCX and RCA narrowing from routine clinical data, explains every risk with SHAP, and lights up each artery on an interactive 3D heart.
Compares your speech to a reference recording, finds timestamped flaws in pace, pitch, pauses, and volume, and explains each with real numbers and coaching tips.
An OpenCV 5 depth-vision agent on AWS that asks for more evidence, gates actions, and attaches re-runnable receipts to its claims.
Home robots arrive in kitchens they've never seen. Arrival turns one iPhone scan into a physics sim where the robot practices first, making 1,000 GR00T demos in under an hour.
CardioVision3D uses machine learning, explainable AI, and 3D heart visualization to explore cardiovascular risk and interpret AI predictions for research and education.
A study companion that can only say what your course says, shows exactly where, and turns any concept into a narrated teaching video cut from your own textbook, slides and lectures.
Drone swarms that find wildfires while they still smoulder, tell crews which way they will run, and warn the people in their path. A language model never flies the drones or decides an alert.
For emergency it clear traffic automatically
Blindspot finds Ring cameras that are online but cannot see or detect the door. It tells you how to fix each problem.
Predicts coronary artery disease and LAD/LCX/RCA stenosis from routine clinical data, maps each artery’s risk onto an interactive 3D heart, and explains every prediction with SHAP.
Predicts coronary artery disease and LAD, LCX and RCA narrowing from routine clinical data, and shows each artery's risk on an interactive 3D heart, with SHAP explanations.
