Executive Overview
The Cardio AI Institute stands at the forefront of cardiovascular artificial intelligence,
bridging the gap between cutting-edge technology and life-saving clinical care. As a premier research and
education institution, we are transforming cardiovascular medicine through innovative AI solutions, rigorous
validation, and comprehensive leadership training.
Mission: To revolutionize cardiovascular care through artificial intelligence by advancing
research, education, and clinical implementation that saves lives and improves patient outcomes worldwide.
50+
Targeted Publications
15+
Active Clinical Trials
500+
Targeted Healthcare Leaders Trained
30+
Targeted Global Partners
100K+
Targeted Patient Datasets
10+
Targeted AI Solutions Deployed
25+
Targeted Research Team Members
🏆 Featured Innovation
BREAKTHROUGH RESEARCH
Multi-Agent System for Cardiovascular AI
Revolutionary AI architecture presented at AHA Scientific Sessions 2025 that orchestrates
four specialized AI agents for comprehensive cardiovascular risk assessment and clinical decision support.
23%
Preliminary Improvement
50K+
Patients in Validation
Expected Completion: Q4 2026 | 15 Healthcare Systems | 8 Countries
Research & Innovation
Core Research Areas
🫀 AI-Powered Cardiac Imaging
Deep learning for automated echocardiography, MRI, CT, and nuclear imaging interpretation with superhuman accuracy.
12 Publications | 4 Clinical Trials | 25K Images
📊 Predictive Analytics
Machine learning models predicting heart failure, sudden cardiac death, and adverse cardiovascular events.
15 Publications | 6 Clinical Trials | 40K Patients
⌚ Wearables & IoMT
AI-enabled continuous cardiac monitoring through device integrations and real-time arrhythmia detection.
8 Publications | 3 Clinical Trials | 100K+ Devices
🧬 Digital Twins
Virtual patient models simulating cardiovascular responses for personalized therapy optimization.
10 Publications | 2 Clinical Trials | 5K Models
Validation Platforms
- AI-Powered Risk Calculator Validation - 15 risk models across 50K+ patients
- External Validation Agent - Multi-site framework across 15 healthcare systems
- IoMT Clinical Validation - Real-world validation with 8 device platforms
- PACS Validation Agent - Automated imaging analysis across 12 modalities
Education & Leadership Development
Cardio AI Leadership Program (CAILP)
Intensive 12-week executive education program designed for healthcare leaders,
administrators, and clinical decision-makers to master AI implementation in cardiovascular care.
- 500+ healthcare leaders trained from leading institutions worldwide
- Hands-on experience with AI diagnostic tools and clinical decision support systems
- Strategic implementation frameworks for organizational transformation
- Networking with global AI healthcare innovators and thought leaders
Academic Degree Programs
Undergraduate Programs
- BS in Artificial Intelligence
- BS in Data Science
- BS in Computer Science
- BS in Nursing
- Pre-Medical Track
Graduate Programs
- Master's in AI Application in Healthcare
- Advanced Education Certificate Program
- Executive Leadership Certification
Technology Solutions
Deployed AI Solutions
- AI Cardiac Imaging Platform - Automated interpretation across multiple modalities
- Cardiovascular Risk Engine - Predictive analytics for event probability calculation
- Remote Patient Monitoring Suite - Continuous wearable device integration
- Clinical Decision Support System - Real-time recommendations at point of care
- Digital Twin Simulator - Patient-specific treatment outcome prediction
- Symptom Analyzer - AI-powered triage and assessment tool
Technology Partners
Strategic partnerships with leading technology companies including AWS, Google Cloud,
Microsoft Azure, NVIDIA, Philips Healthcare, GE HealthCare, Epic Systems, and
Cerner enable cutting-edge infrastructure and seamless clinical integration.
Leadership & Team
Principal Investigators
👨⚕️
Sampson Kontomah
Principal Investigator
👨💻
Harshal Chalke
Chief AI Officer
👨⚕️
Dr. Maulik Purohit
Clinical Validation Lead
👩⚕️
Dr. Tamanna Nahar
Imaging Analysis Lead
👩🔬
Laura Fritsche
Digital Trials Lead
Our multidisciplinary team of 25+ researchers, clinicians, data scientists, and engineers
brings together expertise from cardiology, computer science, biostatistics, and health informatics to
drive innovation in cardiovascular AI.
Impact & Future Vision
Clinical Impact
- Improved Diagnostic Accuracy: AI systems demonstrating up to 23% improvement over traditional methods
- Earlier Disease Detection: Predictive models identifying at-risk patients months in advance
- Personalized Treatment: Digital twin simulations optimizing therapy selection
- Reduced Healthcare Costs: Preventing adverse events through proactive monitoring
- Global Access: Democratizing expert-level cardiovascular care worldwide
Strategic Priorities (2026-2027)
Research Expansion
- Complete multi-agent system validation (Q4 2026)
- Launch 10+ new clinical trials
- Expand to pediatric and congenital heart disease
- Develop AI for interventional cardiology procedures
Education & Training
- Train 1,000+ healthcare leaders through CAILP
- Expand academic programs to 500+ students
- Launch online certification courses
- Establish international training centers
Technology Development
- Deploy AI solutions in 50+ healthcare systems
- Achieve FDA clearance for 5+ diagnostic tools
- Integrate with major EHR platforms
- Develop mobile health applications
Global Partnerships
- Establish collaborations in 20+ countries
- Partner with WHO for global health initiatives
- Create industry consortium for AI standards
- Support AI implementation in underserved regions
Partnership Opportunities
Join us in transforming cardiovascular care through artificial intelligence. The Cardio AI Institute
welcomes collaboration with:
🏥 Healthcare Institutions
Clinical validation sites, data sharing, pilot programs
💼 Industry Partners
Technology development, product validation, commercialization
🎓 Academic Institutions
Research collaborations, student programs, faculty exchange
💰 Funding Organizations
Grant opportunities, sponsored research, innovation awards