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

Explore the Research behind DRAI

Read the original DeepRhythmAI for autonoMous Analysis of RhyThm INvestigatIon (DRAI MARTINI) study

Read Nature Publication

Behind the paper by Linda S Johnson, Alexandra Måneheim, Alexander Benz, and Jeffrey S Healey

Read the Blog Post

Read what the experts are saying about DRAI MARTINI study

Discover the insights

Featured Resources

AI in ECG & Cardiac Risk – This Week in Cardiology

Dr John Mandrola omawia zastosowanie AI w analizie EKG, zatory mózgowe po LAAC oraz nowe podejścia do terapii przeciwzakrzepowej i ich znaczenie dla praktyki klinicznej.

Listen on Medscape

AI-ready Healthcare – Linda Johnson: Clinical validation of ECG AI

Artificial intelligence for direct-to-physician reporting of ambulatory electrocardiography. Linda Johnson is an associate professor on cardiovascular research at the Lund university, Sweden.

Listen on Spotify

Technology at the
Service of Cardiology

The Future of Diagnosis is Here

DeepRhythmAI (DRAI) is a Polish innovation that is revolutionizing cardiac diagnostics. Designed with patients and doctors in mind, DRAI artificial intelligence enables autonomous ECG analysis with exceptional precision. Thanks to DRAI, physicians can speed up the time to diagnosis.

AI Performance Proven by Independent Research

The DRAI MARTINI study included >14,600 patients. The results, announced during the ESC Congress 2024 conference in London, confirm that DRAI surpasses the current standard performed by human technicians, with 14 times lower risk of missed diagnosis, and it is capable of finding more critical arrhythmias, including atrial fibrillation, ventricular tachycardia, supraventricular tachycardia, 3rd degree AV-block, and asystole.

The study was conducted by an international team of cardiologists from leading research centers such as McMaster University, University of British Columbia, Karolinska Institute, University of Oklahoma, Hackensack University, and Copenhagen University.

Accuracy
scientifically proven

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.

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.

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.