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Cardiologs is a medical technology company committed to transforming cardiac diagnostics by utilising medical-grade artificial intelligence and cloud technology.
 
From the very early stages, Cardiologs partnered with leading cardiology and emergency medicine experts to develop a cutting-edge solution that empowers clinicians worldwide to deliver expert cardiac care faster and more efficiently.
 
The Cardiologs ECG Analysis Solution is built on an ever-growing and proprietary database of more than 700,000 recordings and is supported by a number of clinical publications that demonstrate leading diagnostic performance.

It was the world’s first medical device powered by deep learning technology to have received regulatory clearance (CE Mark in August 2016) and among the first to receive FDA clearance (June 2017).
 
Today, Cardiologs is partnering with clinicians and healthcare practitioners across four continents to realize the vision of making expert cardiac diagnostics scalable and accessible to everyone.

About the founders/CEO:

Yann Fleureau is the Co-Founder and CEO at Cardiologs. Yann sets the vision and strategic direction for Cardiologs and is the guardian of company culture. He is a frequent speaker at industry conferences and is recognized as a thought leader in the application of AI in healthcare. Yann graduated with a degree in Computer Science and Biology from Ecole Polytechnique Paris (X) and the Silicon Valley Innovation and Entrepreneurship program at UC Berkeley. 

He was recently named one of MIT Technology Review's Innovators Under 35 in Europe and BNP Paribas European Innovator of the Year. Yann is passionate about the intersection of new technology & clinical practice and is excited to be building a leading company that will help usher in a new era for healthcare worldwide.

Jia Li is the Co-Founder and leader of Scientific Development at Cardiologs with a growing team of R&D engineers working on machine learning and signal processing in ECG analysis. Before cofounding Cardiologs, Jia earned a degree in Applied Mathematics from Telecom ParisTech and Ecole Polytechnique Paris (X), specializing in Computer Vision and Machine Learning. 

Jia aspires to improve healthcare delivery using AI and is eager to create solutions that can streamline clinical practice and improve patient outcomes.
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