3 Integrated Subsystems • 7 AI Agents • 5 CVD Risk Calculators • Women's Health Solution
CardioAI • IoMT • PACS/DICOM • Risk Assessment
Transforming cardiovascular care through the power of artificial intelligence and unified system integration
To save lives and improve patient outcomes by providing healthcare providers with a unified AI-powered platform that predicts, prevents, and manages cardiovascular disease across the entire care continuum. We integrate cutting-edge AI agents with real-time medical device monitoring and advanced imaging analysis to deliver comprehensive, personalized cardiac care.
To become the global standard for AI-driven cardiovascular care, serving 100M+ lives worldwide by 2030. We envision a future where every heart patient benefits from proactive, AI-guided interventions that prevent emergencies, optimize treatments, and dramatically improve quality of life while reducing healthcare costs by 40%+.
We've built the industry's first Unified Master Orchestrator that seamlessly integrates three critical subsystems: CardioAI (7 specialized AI agents), IoMT (real-time device monitoring), and PACS/DICOM (advanced medical imaging). This unified architecture enables complete cardiac workups with cross-subsystem data sharing, ensuring no critical information is missed and every clinical decision is optimally informed.
Central Coordination Engine managing task routing, load balancing, and real-time orchestration across all subsystems
AI-Powered Risk Stratification Framework with 5 Specialized Calculators
Comprehensive, AI-powered tools for predicting cardiovascular event risk across multiple conditions. Evidence-based algorithms aligned with AHA guidelines providing multi-timeframe risk assessment (1, 5, and 10 years) with 95% confidence intervals and personalized clinical recommendations.
Predict heart attack risk in primary and secondary prevention populations with validated models
Comprehensive stroke risk assessment covering ischemic, hemorrhagic stroke, and TIA
Separate predictive models for HFrEF and HFpEF with phenotype-specific guidance
High-accuracy SCD risk prediction providing guidance for ICD placement decisions
Highest accuracy AFib risk prediction enabling targeted screening and prevention
Holistic assessment leveraging multiple data domains for accurate risk prediction
Age, sex, race/ethnicity, height, weight, BMI, blood pressure, smoking status
Prior MI or stroke/TIA, angina, heart failure, AFib, family history of CAD
Lipid panel (Total-C, HDL, LDL, TG), glucose, HbA1c, hs-CRP, eGFR
Statins, aspirin, anticoagulants, ACE-I/ARB, beta blockers
Evidence-based recommendations tailored to individual risk profiles
<5%
5-10%
10-20%
>20%
1-year, 5-year, and 10-year risk estimates with 95% confidence intervals
Color-coded risk bars and displays for instant risk communication
Automatic computation from height and weight inputs
Professional interface with responsive layout and clinical workflow integration
Seamless data import, export to patient portal, automated documentation
Large diverse cohorts, internal/external validation, AHA Guidelines aligned
Complete cardiac care through seamless integration of AI analysis, device monitoring, and medical imaging
7 Specialized AI Agents • ECG, Echo, Lab, Risk, Diagnostic, Treatment, Prognosis
Advanced electrocardiogram analysis with real-time detection and automated coding
Comprehensive echocardiography analysis for heart function assessment
Biomarker analysis and trend detection for cardiac health monitoring
Predictive risk assessment using validated clinical scoring systems
Evidence-based diagnostic synthesis from multiple data sources
Personalized treatment recommendations based on latest guidelines
Outcome prediction and long-term care planning
Device Management & Real-time Monitoring • MQTT, HTTP, CoAP, WebSocket
Seamless device onboarding and patient association
Real-time data ingestion from wearable devices
Intelligent alerting for critical threshold violations
Continuous device health and connectivity tracking
Medical Imaging & Analysis • 6 Specialized Agents • Orthanc Integration
Medical image reception and metadata extraction
Image enhancement and quality optimization
Automated cardiac structure identification with 4 parallel agents
Precise cardiac measurements and calculations
Advanced imaging techniques and scoring
Automated reporting with standard integration
$500 Billion Market Opportunity | Transforming Maternal Cardiovascular Care
More deadly than all cancers combined
Women receive incorrect initial heart attack diagnosis
Cardiovascular complications during pregnancy
Algorithms trained on women-specific cardiovascular presentations and atypical symptoms
Real-time monitoring during pregnancy and postpartum with OB-GYN workflow integration
ECG, echo, labs, and wearable data across all trimesters and postpartum
Seamless cross-subsystem integration for comprehensive patient assessment
Proven outcomes that improve patient health while reducing costs
Our unified AI system with predictive risk calculators prevents cardiac events before they require emergency care.
AI-powered CVD event prediction for AMI, stroke, heart failure, SCD, and AFib with 95% confidence intervals.
First platform to unify AI analysis, device monitoring, medical imaging, and risk assessment in one workflow.
Master Orchestrator coordinates tasks across all subsystems with automatic load balancing and error recovery.
Developed with Stanford, Cornell, and Harvard. AHA Guidelines aligned with proven clinical efficacy.
Transparent risk-adjusted pricing aligned with value-based care. ROI positive within 6 months.
Collaborating with leading institutions to advance cardiovascular AI research
Comprehensive Validation Program for AI-Powered Cardiovascular Diagnostics
Internal Validation
Internal validation of 5 specialized diagnostic agents:
External Clinical Validation
External clinical validation with multi-site hospital partnerships for real-world diagnostic accuracy assessment
Real-Time Device Integration Testing
Testing real-time data acquisition and analysis from wearable devices (Apple Watch, Fitbit) and medical devices (BP cuffs, ECG monitors) via MQTT/Kafka pipelines
Medical Imaging Analysis Validation
Validating automated medical imaging analysis and diagnostic support from cardiac CT, MRI, and echocardiography with FHIR and HL7 compliant data exchange
AI-Powered Deep Learning Models
Successfully developed five specialized digitized risk calculators using AI-powered deep learning models for predicting cardiovascular event risk:
Large Cohort Studies with Robust Statistical Methods
All five calculators trained and tested using large cohort studies with robust statistical methods
Real-World Cardiovascular Event Risk Prediction
Currently validating the risk calculators as AI-powered tools for predicting cardiovascular event risk across multiple conditions using Deep Learning Models
Conducting multi-site clinical validation studies to establish safety and efficacy data for FDA 510(k) clearance pathway. Collaborating with hospital networks to gather real-world evidence demonstrating clinical utility and diagnostic accuracy across diverse patient populations
Pursuing FDA regulatory clearance for Internet of Medical Things integration as Class II medical device software. Implementing Quality Management System (QMS) compliant with 21 CFR Part 820, conducting risk analysis per ISO 14971, and establishing cybersecurity protocols aligned with FDA guidance on medical device cybersecurity
Developing regulatory submission for PACS/DICOM integration as Computer-Aided Detection (CADe) software under FDA guidance for AI/ML-based medical devices. Ensuring compliance with DICOM standards (ISO 12052), implementing validation protocols for imaging algorithm performance, and establishing post-market surveillance framework for continuous algorithm monitoring
Join leading health systems using our integrated platform with 5 CVD risk calculators