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DRAI is a set of AI algorithms for autonomous ECG analysis, capable of analyzing multichannel Holter, Event, and Mobile Cardiac Telemetry data. This technology has been designed to provide accurate and reliable results quickly, making it an ideal tool for healthcare professionals who need to diagnose and treat abnormal heart rhythms.
Traditional ECG analysis methods can take hours or even days to produce a diagnosis. With DRAI, results are available in just a matter of minutes. DRAI can accurately detect a wide range of arrhythmias, including atrial fibrillation, ventricular tachycardia, and other conditions that can lead to serious health complications.
DRAI has been approved by the FDA under the 510(k) clearance with the number K210822 (Link to the Summary: https://www.accessdata.fda.gov/ cdrh_docs/pdf21/K210822.pdf), making it one of the few Artificial Intelligence and Machine Learning (AIML)-enabled medical devices to receive FDA clearance. DRAI has been created using a unique dataset of long-term ECG recordings consisting of over 200 million hours, which has allowed our team of experts to develop AI algorithms that can accurately and quickly analyze ECG data to identify abnormal heart rhythms.
As part of our commitment to the healthcare industry, Medicalgorithmics has contributed a complete set of over 9 million reference beat and rhythm annotations for the PhysioNet Long-Term AF Database
(https://physionet.org/content/ltafdb/1.0.0/).
In the AI area, Medicalgorithmics has extensive experience in developing AI technology for medical applications. We have been pioneers in this field, and DRAI is a testament to our expertise in AI development for medical applications. In terms of competitors, there are very few AI algorithms for ECG analysis that have received FDA clearance. This makes DRAI a unique and groundbreaking technology that can help transform the healthcare industry.
Administratorem danych jest Medicalgorithmics S.A. z siedzibą w Warszawie (02-001) przy Jerozolimskie 81. Dane będą przetwarzane w celu udzielenia odpowiedzi na wysłane zapytanie (podstawa prawna: uzasadniony interes administratora), marketing (podstawa prawna: uzasadniony interes administratora). Pełny tekst klauzuli można znaleźć na stronie Polityki Prywatności.
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