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These advancements, alongside software enhancements, enable early detection of cardiac diseases, empowering healthcare providers to make evidence-based decisions and tailor appropriate patientcare plans. Innovative algorithms analyze gene biomarkers to provide predictive insights and personalized patient therapy.
Philips’ study reveals that AI-powered ECG biomarker technology may help to identify patients with significant intermittent bradyarrhythmia, potentially improving timely diagnosis and management. ET on Friday, May 17 in the HRS Abstract area to learn more about this study and its impact on the future of cardiac care.
Jimenez and Ali co-founded AccurKardia in 2019 with a vision for unlocking the value of the ECG signal, and the company currently markets one of the few FDA-cleared solutions for automated ECG interpretation and arrhythmia detection. Here’s the rest of their story and vision for ECG automation.
One promising strategy is the formation of creative partnerships between patients and their healthcare teams. We can revolutionize patientcare and significantly reduce cardiometabolic risk by fostering collaborative relationships and leveraging diverse expertise and experiences.
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