Literature DB >> 35933142

Introducing Artificial Intelligence into the Preventive Medicine Visit.

David M Harmon1, Francisco Lopez-Jimenez1, Paul A Friedman1.   

Abstract

Entities:  

Mesh：

Year:  2022        PMID： 35933142      PMCID： PMC9577694          DOI： 10.1016/j.mayocp.2022.06.003

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN： 0025-6196            Impact factor:   11.104


× No keyword cloud information.
  4 in total

1.  Artificial intelligence-enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial.

Authors:  Xiaoxi Yao; David R Rushlow; Jonathan W Inselman; Rozalina G McCoy; Thomas D Thacher; Emma M Behnken; Matthew E Bernard; Steven L Rosas; Abdulla Akfaly; Artika Misra; Paul E Molling; Joseph S Krien; Randy M Foss; Barbara A Barry; Konstantinos C Siontis; Suraj Kapa; Patricia A Pellikka; Francisco Lopez-Jimenez; Zachi I Attia; Nilay D Shah; Paul A Friedman; Peter A Noseworthy
Journal:  Nat Med       Date:  2021-05-06       Impact factor: 53.440

2.  Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs.

Authors:  Zachi I Attia; Paul A Friedman; Peter A Noseworthy; Francisco Lopez-Jimenez; Dorothy J Ladewig; Gaurav Satam; Patricia A Pellikka; Thomas M Munger; Samuel J Asirvatham; Christopher G Scott; Rickey E Carter; Suraj Kapa
Journal:  Circ Arrhythm Electrophysiol       Date:  2019-08-27

Review 3.  Artificial intelligence-enhanced electrocardiography in cardiovascular disease management.

Authors:  Konstantinos C Siontis; Peter A Noseworthy; Zachi I Attia; Paul A Friedman
Journal:  Nat Rev Cardiol       Date:  2021-02-01       Impact factor: 32.419

Review 4.  Application of artificial intelligence to the electrocardiogram.

Authors:  Zachi I Attia; David M Harmon; Elijah R Behr; Paul A Friedman
Journal:  Eur Heart J       Date:  2021-12-07       Impact factor: 29.983
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.