Search Tag: AI

Cardiology Management

2024 05 Mar

  The American Heart Association (AHA) advocates exploring AI and related technologies to enhance cardiovascular and stroke research and care. Despite considerable investment in AI in healthcare, its widespread use in cardiovascular medicine remains unproven.   A new statement by the AHA, titled "Use of Artificial Intelligence in Improving Outcomes...Read more

Cardiology Management

2023 08 Nov

Predicting sudden cardiac death, and perhaps even addressing a person’s risk to prevent future death, may be possible through artificial intelligence (AI) and could offer a new move toward prevention and global health strategies, according to preliminary research to be presented at the American Heart Association’s   Resuscitation Science Symposium...Read more

Cardiology Management

2023 25 Oct

Artificial intelligence (AI) and its latest offering, ChatGPT, is increasingly used in medicine to enhance disease diagnosis treatment and reduce unnecessary patient screenings. However, an international task force, including a bioethicist from the University of Rochester Medical Center, has cautioned that AI medical devices could potentially harm...Read more

Cardiology Management

2023 25 Oct

Researchers at the Smidt Heart Institute at Cedars-Sinai have uncovered the potential of an artificial intelligence (AI) algorithm to detect abnormal heart rhythms in individuals who are not yet displaying symptoms. This innovative algorithm, capable of identifying concealed signals within common medical diagnostic tests, holds promise for aiding physicians...Read more

Cardiology Management

2023 28 Jun

The AI4HF project was recently launched in Utrecht, the Netherlands. The project is designed to pioneer the development of the first reliable artificial intelligence (AI) model for managing heart failure patients. The initiative is led by a consortium of global partners, including the European Society of Cardiology (ESC).   Professor Folkert Asselbergs,...Read more

Cardiology Management

2023 26 May

Scientists have used artificial intelligence (AI) to identify a novel antibiotic capable of eliminating a dangerous strain of antibiotic-resistant bacteria. By employing AI, researchers efficiently narrowed down a vast pool of potential chemicals to a small selection suitable for laboratory testing. This process led to identifying a powerful experimental...Read more

Cardiology Management

2023 17 May

Researchers from the University of Edinburgh have developed an artificial intelligence (AI) algorithm that shows promise in diagnosing heart attacks more quickly and accurately than existing methods. The algorithm, funded by the British Heart Foundation and the National Institute for Health and Care Research, utilises AI technology to enhance diagnostic...Read more

Cardiology Management

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

Cardiology Management

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

Cardiology Management

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

Cardiology Management

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

Cardiology Management

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

Cardiology Management

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

Cardiology Management

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

Cardiology Management

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

Cardiology Management

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

Cardiology Management

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

Cardiology Management

2018 20 Jun

Artificial intelligence (AI) and machine learning are poised to influence nearly every aspect of the human condition, and cardiology is not an exception to this trend. In this digital age, physicians are being inundated with data requiring more sophisticated interpretation while being expected to perform more efficiently. The promise of AI in cardiology...Read more

Cardiology Management

2017 29 May

Artificial intelligence (AI) techniques, such as machine learning, deep learning, and cognitive computing are promising and can potentially change the way in which medicine is practised. Over the past decade, several machine-learning techniques have been used for cardiovascular disease diagnosis and prediction. In the near future, AI will result in...Read more