Stanford researchers from the Machine Learning Group have developed an algorithm that is able to outperform cardiologists in arrhythmia detection, according to research published on arXiv. The new deep learning algorithm can diagnose 14 types of heart rhythm defects, called arrhythmias and has the ability to sort through data from rural locations where people do not have routine access to cardiologists. Traditionally, patients suspected to have an arrhythmia will often get an electrocardiogram
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Ochsner to Measure Digital Health Outcomes in Clinical Studies
InnovationOchsner (iO), an innovation lab and accelerator created by Ochsner Health System is teaming up with Evidation Health to conduct robust clinical studies to determine the real-world impact of digital health outcomes on the health of patients and the cost of care.
The partnership will pair Ochsner Health System’s medical expertise and diverse patient population, iO’s digital health capabilities, and Evidation Health’s technology platform, data analytics engine and health outcomes
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