Imagineer Tech Showcase - Harness the Power of Data to Advance the Science of EP-Harness the Power of Data to Advance the Science of EP

Video Transcription

Video Summary

In this presentation, Dr. Paul Tsai discusses the challenges of managing and leveraging the vast amount of data produced in electrophysiology (EP) procedures. He highlights the issues with current data storage and retrieval methods, which are often fragmented and difficult. Dr. Tsai introduces CardoNet, a platform that aims to address these challenges by securely storing EP data in a cloud server and allowing remote access and analytics. He explains how the Microsoft Azure Cloud Platform and Siemens Teamplay Gateway are used in this system to ensure security and privacy. Furthermore, Dr. Tsai discusses the potential of leveraging artificial intelligence (AI) and machine learning in EP through the analysis of large amounts of data. He gives examples of potential applications such as improving signal analysis, medical imaging, disease management, personalized treatment optimization, and risk prediction. Overall, CardoNet provides a solution to the problem of data management in EP and opens up possibilities for further advancements through AI and machine learning.

Keywords

electrophysiology

data management

CardoNet

cloud server

artificial intelligence

machine learning