Expert Review of Precision Medicine and Drug Development

Personalized medicine in drug development and clinical practice

Volume 5, 2020 - Issue 3

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Editorial

Artificial intelligence-enabled electrocardiogram: can we identify patients with unrecognized atrial fibrillation?

Anthony H. Kashoua Department of Medicine, Mayo Clinic, Rochester, MN, USAView further author information

Itzhak Zachi Attiab Division of Cardiovascular Diseases, Mayo Clinic, RochesterMN, USAView further author information

Xiaoxi Yaoc Robert D. And Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USAView further author information

Paul A. Friedmanb Division of Cardiovascular Diseases, Mayo Clinic, RochesterMN, USAView further author information

Peter A. Noseworthyb Division of Cardiovascular Diseases, Mayo Clinic, RochesterMN, USACorrespondence[email protected]
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Declaration of Interest

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

Reviewers Disclosure

A reviewer on this manuscript has disclosed being a founder and board member of Rhythm AI Ltd. Peer reviewers on this manuscript have no other relevant financial relationships or otherwise to disclose.

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This paper was not funded.

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Artificial intelligence-enabled electrocardiogram: can we identify patients with unrecognized atrial fibrillation?

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Artificial intelligence-enabled electrocardiogram: can we identify patients with unrecognized atrial fibrillation?

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