A review of the top 3 AI in cardiology papers of the past year. 1. Zimmerman A et al. Usefulness of Machine Learning in COVID-19 for the Detection and Prognosis of Cardiovascular Complications.Review in Cardiovascular Medicine 2020. Machine learning can be used to assess massive quantities o
1. Artificial intelligence in cardiology is more than using deep learning for cardiovascular imaging interpretation and can be extended into wearable technology (edge AI), administrative tasks (robotic process automation), and decision making (recurrent neural network for time series data). 2. In wo
AIMed Radiology virtual conference took place last week. Early on, at the keynote address, Dr. Geraldine McGinty, President of the American College of Radiology (ACR)
One of the sessions at the AIMed Cardiology virtual conference took place yesterday (4 November) was on real-time applications of artificial intelligence (AI)
Electrocardiogram (ECG) was invented in 1895 and it has not changed much over the years, including the way results are being reported and printed out from the machine
Dr. Jorge Cardoso noted an algorithm’s performance is intrinsically correlated to the amount and complexity of the data
Qure.ai, a Mumbai based company created qXR when they noticed patients needed to wait long hours for a specialist to examine their x-rays. At the peak of the pandemic in the middle of April, qXR was retooled by Dr. Rizwan Malik
How patient data can be better use for care and research expressed people who asked about “what can we do to improve (patients/public) trust?” have been asking the wrong question because trust is influenced by many different factors.
AIMed UK 2020 virtual summit took place early on. In the opening keynote session: Deployment of artificial intelligence (AI) in the UK and across the world, Professor Neil Sebire, Chief Research Information Officer at the Great Ormond Street Hospital for Children National Health Service (NHS) Founda