Researchers from the Mount Sinai have upgraded an artificial intelligence (AI) algorithm to provide specific probabilities identifying patients at risk for hypertrophic cardiomyopathy (HCM), based on electrocardiogram (ECG) readings. The updated FDA-approved Viz HCM algorithm provides clinicians and patients with a more precise understanding of their risk. The researchers plan to test the AI calibration approach for HCM across different health systems to establish universal applicability.
Smart Electric Vehicles Face Hidden Cyber Vulnerabilities Exposing Drivers to Risks
The rise of electric vehicles (EVs) has heightened cybersecurity risks, exposing vulnerabilities in charging infrastructure and vehicle systems. Insecure public charging stations and outdated protocols
