AN AI DIMENSION TO CARDIOLOGY
Clinically validated deep learning based arrhythmia detection trained over
12-lead ECGs and holter reports within minutes
There has been a significant explosion in non-communicable diseases across the world. A combination of patient data coming from in hospital and ambulatory portend a massive increase in the amount of data that is being generated that can be leveraged by AI algorithms. Similarly, advances in processing technology have allowed algorithms to process immensely more data in less time. Thanks to the use of multi-core processors, GPUs and parallel processing architectures. Deeprrhythmia is built on aggregating massive sets of patient data from a variety of sources. Detection of ECG is one such application to help diagnose cardiac rhythm irregularities faster and accurately. We continue to strive towards improving clinical outcomes and operational efficiency of organisations helping to save lives.
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