An artificial intelligence (AI) system developed by Medicalgorithmics is capable of diagnosing the risk of a dangerous type of cardiac arrhythmia known as ventricular tachycardia before the onset of clinical symptoms, according to a publication by the scientific team at Medicalgorithmics in the renowned American cardiology journal, Heart Rhythm O2.
The scientific article provides a summary of a two-year research project carried out by the scientific team of Medicalgorithmics, a provider of advanced diagnostic solutions for cardiology listed on the Warsaw Stock Exchange. During the project, the AI system analyzed retrospective data on the heart function of more than 19,000 patients aged 65 and older, with a specific focus on the risk of ventricular tachycardia. The data collection involved 24-hour heart monitoring utilizing PocketECG devices, which are part of the technological ecosystem developed by Medicalgorithmics for diagnosing cardiac diseases.
The analysis utilizing artificial intelligence revealed that among the group of over 19,000 individuals, one in five patients exhibited symptoms indicating an increased risk of developing ventricular tachycardia. By utilizing AI and its predictive models, these patients can undergo monitoring for the purpose of early diagnosis and treatment, even prior to the appearance of clinically significant symptoms of this potentially life-threatening cardiac arrhythmia.
Ventricular tachycardia, also known as tachyarrhythmia, is a dangerous heart disorder characterized by rapid and irregular ventricular contractions. If left undiagnosed and untreated, it can lead to loss of consciousness, heart failure, and even sudden death.
Linda Johnson, Chief Scientific Officer of Medicalgorithmics and one of the authors of the scientific paper believes that the implementation of artificial intelligence has the potential to significantly transform the diagnostic approach to heart diseases through the utilization of electrocardiographic monitoring solutions. Additionally, this will enhance the accessibility of this type of diagnostics.
“We hope that our predictive analysis will revolutionize the utilization of electrocardiography. Prolonged heart monitoring should be available to patients who truly need it, and the quality of the obtained data should be of the highest standard,” says Linda Johnson.
Heart Rhythm O2 is a scientific journal published in partnership with the American Heart Rhythm Society. It focuses on topics related to cardiac arrhythmia and electrophysiology, featuring original clinical and experimental research articles, as well as reports that highlight the application of modern technologies in the field of cardiology. All published articles undergo expert and scientific peer review.
The scientific article authored by the Medicalgorithmics team is accessible through the following link: https://www.sciencedirect.com/science/article/pii/S2666501823001381