Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction.
Zachi I AttiaSuraj C KapaXiaoxi YaoFrancisco Lopez-JimenezTarun L MohanPatricia A PellikkaRickey E CarterNilay D ShahM P H Paul A FriedmanPeter A NoseworthyPublished in: Journal of cardiovascular electrophysiology (2019)
A deep learning algorithm detected depressed LV function with good accuracy in routine practice. Further studies are needed to validate the algorithm in patients with no prior echocardiogram and to assess the impact on echocardiography utilization, cost, and clinical outcomes.
Keyphrases
- deep learning
- left ventricular
- machine learning
- artificial intelligence
- convolutional neural network
- heart failure
- hypertrophic cardiomyopathy
- acute myocardial infarction
- cardiac resynchronization therapy
- primary care
- left atrial
- mitral valve
- blood pressure
- computed tomography
- healthcare
- aortic stenosis
- oxidative stress
- pulmonary hypertension
- clinical practice
- real time pcr