Search Tag: AI
#ESCCongress: AI Algorithm for Prevention of Cardiovascular Disease
2022 29 Aug
Late-breaking research presented at the ESC Congress shows that an artificial intelligence (AI) algorithm accurately estimates the risk of heart disease caused by cumulative exposure to cholesterol and blood pressure levels and the benefits of lowering both, thus providing the information needed to make individual treatment decisions. Atherosclerotic... Read more
Artificial Intelligence Can Predict New Atrial Fibrillation, Stroke Risk
2021 09 Mar
A team of scientists from Geisinger and Tempus have found that artificial intelligence can predict risk of new atrial fibrillation (AF) and AF-related stroke. Their findings are published in Circulation. Atrial fibrillation is the most common cardiac arrhythmia and is associated with numerous health risks, including stroke and death. The study... Read more
Machine Learning and Early Diagnosis of CVD
2020 20 Feb
Despite significant advances in the diagnosis and management of cardiac disease, cardiovascular disease continues to have high morbidity and mortality. In some cases, the diagnosis is delayed, while in others, the diagnosis is mistaken for another disorder. Advanced technology and machine learning have opened up new opportunities to evaluate image-based... Read more
Artificial Intelligence-Assisted Care in Medicine: Friend or Foe?
2019 30 Oct
Technical innovation has always been a driver for medical breakthroughs in the field of cardiology. These include the Laennec’s stethoscope, the electro- and echocardiogram, percutaneous coronary interventions, transcatheter structural heart interventions, open heart surgery, ventricular assist, and implantable electronic devices. However, while... Read more
#ESCCongress: Artificial Intelligence for Heart Attack Prediction
2019 04 Sep
New findings presented at the ESC Congress in Paris demonstrated technology that uses artificial intelligence (AI) to identify people at high risk of a fatal heart attack at least five years before it strikes. These findings are published in the European Heart Journal. The technology has been developed by researchers at the University of Oxford.... Read more
#ESCCongress: RAPID-TnT Study Shows Reduction in Wait Times and Admissions
2019 04 Sep
10% of the 7 million emergency department cases in South Australia each year are from suspected acute coronary syndrome (ACS). Led by Prof. Derek Chew of Flinders University, a new trial found a new troponin regime which could reduce discharge times for 70% of chest pain patients in Australian emergency departments. Findings were presented at the ESC... Read more
Deep Learning AI May Identify Atrial Fibrillation
2019 07 Aug
A recent study published in The Lancet found that artificial intelligence (AI) technology was able to diagnose patients with intermittent atrial fibrillation even when their hearts were at a normal rhythm. The 10-second test could help identify patients at risk of unexplained heart attacks or strokes. Atrial Fibrillation currently affects 2.7... Read more
Can AI and machine learning augment the effectiveness of a cardiologist?
2018 06 Dec
Artificial intelligence and machine learning are expected to revolutionise healthcare in the years to come. Cardiology is no exception. It is expected that AI and machine learning will provide cardiologists with a set of tools that will augment and extend their effectiveness. Some of the primary reasons why cardiologists need to embrace AI... Read more
AI system detects foetal heart problems quickly
2018 26 Sep
Congenital heart abnormalities often require prompt treatments, thus early and accurate diagnosis is crucial. Currently detection of foetal heart problems depends heavily on observations by experienced examiners using ultrasound imaging, so it is unfortunately not uncommon for children to be born without having been properly diagnosed. Researchers... Read more
How AI is changing the landscape of echocardiography
2018 11 Jul
The growth of artificial intelligence (AI) over the past decades has been exponential with tremendous opportunities now offered by deep learning. Indeed, automation and AI are changing the landscape of echocardiography by providing complimentary tools to physicians to enhance patient care, according to a review published in the journal Echocardiography. ... Read more