Batch enrollment for an artificial intelligence-guided intervention to lower neurologic events in patients with undiagnosed atrial fibrillation: rationale and design of a digital clinical trial.

Abstract

Authors

• Xiaoxi Yao
  Department of Health Sciences Research, Division of Health Care Policy and Research, Mayo Clinic, Rochester, Minnesota.
• Zachi I Attia
  Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
• Emma M Behnken
  Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN.
• Kelli Walvatne
  Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
• Rachel E Giblon
  Division of Biomedical Statistics and Informatics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
• Sijia Liu
  These authors contributed equally to this study and Dr. Li is now working at IBM; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA; Department of Computer Science and Engineering, University at Buffalo, Buffalo, NY, USA.
• Konstantinos C Siontis
  Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
• Bernard J Gersh
  Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
• Jonathan Graff-Radford
  Department of Neurology, Mayo Clinic and Foundation, Rochester, MN, USA.
• Alejandro A Rabinstein
  Department of Neurology, Mayo Clinic, Rochester, MN, USA.
• Paul A Friedman
  Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
• Peter A Noseworthy
  Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.

Keywords

External Resources