Trusted for AI-powered health monitoring
Features
Everything Clinicians Need
A comprehensive toolkit built for modern geriatric care.
Cardiac Risk Prediction
Identify elevated cardiac stress using AI-driven heart-rate pattern analysis and contextual activity data.
Wearable Data Analysis
Seamlessly ingest CSV data from popular wearables to extract meaningful health indicators.
SpO2 Monitoring
Track blood oxygen saturation trends and detect dangerous dips, especially during sleep.
Heart Rate Trends
Visualize 24-hour heart rate curves against steps and activity to spot anomalies.
Book Appointments
Seamlessly schedule consultations with specialists directly from the platform based on AI recommendations.
Patient Dashboard
One unified view of all vitals, risk cards, charts, and alerts for quick clinical decisions.
How It Works
Three Steps to Actionable Insights
From raw wearable data to cardiac risk prediction in minutes.
Upload Wearable Data
Import a standard CSV file from any supported medical wearable device in seconds.
AI Analyzes Health Signals
Our models process heart rate, steps, SpO₂, and sleep data to compute risk scores.
Receive Cardiac Risk Prediction
View comprehensive risk dashboards designed for quick clinical interpretation.
Why GeriRisk
Why Clinicians Choose GeriRisk
Purpose-built for the unique challenges of geriatric cardiac care.
Early Detection
Catch cardiac anomalies before they escalate into emergencies.
Prevent Emergencies
Proactive alerts give caregivers time to intervene before a crisis.
Continuous Monitoring
Round-the-clock tracking of vitals from everyday wearable devices.
AI Driven Decisions
Machine-learning models surface the insights that matter most.
FAQ
Frequently Asked Questions
Common questions about GeriRisk and cardiac risk monitoring.
GeriRisk works with standard CSV exports from popular wearables. The file should contain timestamped heart rate, step count, SpO₂, and optional sleep-stage columns.
GeriRisk is a risk-monitoring and pattern-analysis tool. It does not diagnose conditions and is not classified as a medical device. All insights should be interpreted alongside professional clinical judgment.
Our models are trained on validated clinical datasets and achieve high sensitivity for detecting elevated risk patterns. Accuracy depends on the quality and completeness of the input data.
Yes. All data is encrypted in transit and at rest. We follow industry-standard security practices and never share patient data with third parties.