DeepRhythmAI (DRAI), developed by Medicalgorithmics, is a revolutionary set of deep learning-based algorithms and machine learning techniques that leverage the power of Convolutional Neural Networks(CNNs) and Transformer models to detect and classify ECG data accurately, identifying a wide range of cardiac arrhythmias. It can automatically analyze multichannel ECG Holter, Extended Holter, Event Monitoring, and Mobile Cardiac Telemetry data.
DRAI's algorithms are trained on massive datasets (250 Billion heartbeats) to detect subtle arrhythmias. An independent study proved DRAI’s performance results in 14 times lower risk of missed diagnosis compared to the current standard in ECG analysis. This translates to demonstrably improved patient outcomes.
DRAI automates a significant portion of ECG analysis, freeing up technicians' time for higher-level tasks and complex cases optimizing the workflows by up to 65%.
Our 100% cloud-based solution rapidly analyzes massive datasets, reducing clinical team workload by 65% and ensuring continuous operation with unlimited consecutive sessions, empowering your organization to meet growing demands without constraint.
DRAI algorithms leverage the latest technologies, such as Transformer Models, to classify arrhythmias with high accuracy and reliability.
DRAI set of algorithms is a 100% cloud-based solution that can be integrated with any external ECG analysis software.
DRAI has been approved by FDA 510(k) as the only AI algorithm suite for integration with third-party medical ECG analysis software. It is also CE Marked and Health Canada licensed.
DRAI can provide results analysis of very long ECG recordings within a few minutes, significantly speeding up the diagnostic process.
Our cutting-edge technology was designed to meet the needs of both patients and healthcare providers, offering autonomous ECG analysis with exceptional precision, speed, and accuracy, accelerating the diagnosis of arrhythmias.
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