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DRAI MARTINI

In this study led by Linda S Johnson, Associate Professor, Lund University, Sweden, and Jeffrey S Healey, Professor of Cardiology, McMaster University, Canada. DeepRhythmAI (DRAI) outperformed human technicians in the diagnosis of cardiac arrhythmias.

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0 times lower risk of missed diagnosis

DRAI outperforms traditional methods by raising the standards of ECG analysis

0 patients

The world’s largest study of the validity of AI in the diagnosis of cardiac arrhythmia

0+ independent cardiologists

DRAI and technicians were both compared to diagnoses by panels of independent cardiologists from institutions around the world

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Accuracy
scientifically proven

01

Outperforming human technicians

The study demonstrated that our set of AI algorithms (DRAI) outperforms human technicians in detecting heart rhythm disorders. This groundbreaking research marks a major step forward in the diagnosis and treatment of cardiovascular conditions.

02

Precise analyses

During DRAI MARTINI study, our set of algorithms proved 14 times lower risk of missed critical cardiac arrhythmias compared to traditional methods. This guarantees higher accuracy and greater patient safety.

03

Confirmed effectiveness

The DRAI MARTINI study involved 50+ independent cardiologists from leading institutions around the world. The results confirming the excellence of our cutting-end technology are supported by the analysis of data from thousands of patients.

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Behind
DRAI MARTINI
study

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Learn more about DRAI
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