Search Tag: machine learning
2024 07 Feb
Scientists at the University of Virginia have pioneered a novel approach to machine learning to identify drugs that could mitigate harmful scarring following a heart attack or other injuries. The team's findings have been published in Proceedings of the National Academy of Sciences (PNAS). This innovative machine-learning tool has already...Read more
2020 20 Feb
Digital technology has become an integral part of healthcare and is all set to revolutionise the practice of medicine. Digital technology has greatly improved operational efficiency with respect to standards of medical care. The transformation has significantly enhanced the overall experience of both healthcare professionals and patients. Some...Read more
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
2019 20 Sep
Heart failure is a common complication in patients suffering from Type 2 Diabetes (T2D). Recently, new medicines have been developed to offset these risks; however, finding effective strategies to identify which T2D patients are most at risk has been difficult. Researchers at Brigham and Women’s Hospital and UT Southwestern Medical Centre have...Read more
2019 29 May
Nearly 600,000 people in the US and Europe combined sustain an out-of-hospital cardiac arrest (OHCA) annually. OHCA is a life-threatening condition, and in order to improve survival rates, it is imperative that it is recognised rapidly by medical dispatchers. Accurate recognition of OHCA either by a bystander or a dispatcher is essential for initiation...Read more
2019 10 Apr
A new study shows that incorporating modern deep machine learning networks into prognostic models is feasible in congenital heart disease. The researchers used data from over 10 000 patients and 44,000 medical reports available at a tertiary centre for congenital heart disease and pulmonary hypertension and combined this information with demographic,...Read more
2019 15 Feb
Emergency medical dispatchers fail to identify approximately 25% of cases of out of hospital cardiac arrest, thus lose the opportunity to provide the caller instructions in cardiopulmonary resuscitation. This study examined whether a machine learning framework could recognize out-of-hospital cardiac arrest from audio files of calls to the emergency...Read more
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
2018 06 Mar
New research findings suggest that machine learning may usher in a new era in digital healthcare tools that are able to predict clinical outcomes in patients with known or potential heart problems. These findings are from several studies being presented at the American College of Cardiology's 67th Annual Scientific Session. The new studies presented...Read more