[Abstract Only] Artificial Intelligence Algorithm Can Detect Patients with Atrial Fibrillation from a Sinus Rhythm ECG
5 Aug, 2019 | 02:22h | UTCAn artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction – The Lancet (link to abstract – $ for full-text)
Commentaries: Deep learning AI may identify atrial fibrillation from a normal rhythm ECG – The Lancet (free) AND AI may help detect atrial fibrillation from a normal rhythm ECG – OnMedica (free) AND Expert reaction to a study looking at an AI algorithm to identify atrial fibrillation – Science Media Centre (free) AND AI-Trained EKG Can Detect New or Impending Atrial Fibrillation – MedicalResearch.com (free) AND AI could enable accurate screening for atrial fibrillation – Mayo Clinic (free)
Related Commentary on Twitter
Using ~650,000 electrocardiograms from over 180,000 patients, a neural network could predict future atrial fibrillation when patients were in normal sinus rhythm (AUC 0.87-90) #AI #deeplearninghttps://t.co/ISTR40WrD7 @zachia5 @noseworthypete @drpaulfriedman @MayoClinicCV pic.twitter.com/tGizLxPf54
— Eric Topol (@EricTopol) August 1, 2019