HeartBeam and Mount Sinai Launch AI-ECG Algorithms for Heart Attack Risk Assessment
HeartBeam is collaborating with Mount Sinai to develop and validate personalized AI-based ECG algorithms for wellness and clinical applications, including heart attack risk assessment. The project leverages HeartBeam’s ECG platform to integrate advanced AI models across its cardiac monitoring system.
1. Strategic Collaboration
HeartBeam has formed a strategic partnership with Mount Sinai to co-develop and validate AI-driven electrocardiogram algorithms, marking a significant step in advancing next-generation cardiac monitoring solutions.
2. AI-ECG Algorithm Development
The collaboration focuses on creating personalized AI-based ECG models for both wellness insights and clinical applications, with a specific emphasis on assessing heart attack risk through advanced machine learning techniques.
3. Integration and Deployment
Validated algorithms will be integrated into HeartBeam’s existing ECG system, enabling broad deployment across remote monitoring platforms and strengthening the company’s position in data-driven cardiac care.