Literature DB >> 29305798

The Use of Computational Modeling and Simulation to Create Virtual Patients: Application to Cardiac Pacing and Defibrillation Systems.

Adam Himes1.   

Abstract

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Year:  2018        PMID: 29305798     DOI: 10.1007/s12265-017-9780-y

Source DB:  PubMed          Journal:  J Cardiovasc Transl Res        ISSN: 1937-5387            Impact factor:   4.132


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  6 in total

1.  Bayesian statistics in medical devices: innovation sparked by the FDA.

Authors:  Gregory Campbell
Journal:  J Biopharm Stat       Date:  2011-09       Impact factor: 1.051

Review 2.  An FDA Viewpoint on Unique Considerations for Medical-Device Clinical Trials.

Authors:  Owen Faris; Jeffrey Shuren
Journal:  N Engl J Med       Date:  2017-04-06       Impact factor: 91.245

3.  Incorporation of stochastic engineering models as prior information in Bayesian medical device trials.

Authors:  Tarek Haddad; Adam Himes; Laura Thompson; Telba Irony; Rajesh Nair
Journal:  J Biopharm Stat       Date:  2017-03-21       Impact factor: 1.051

4.  Full-Body MRI in Patients With an Implantable Cardioverter-Defibrillator: Primary Results of a Randomized Study.

Authors:  Michael R Gold; Torsten Sommer; Juerg Schwitter; Ahmed Al Fagih; Timothy Albert; Béla Merkely; Michael Peterson; Allen Ciuffo; Sung Lee; Lynn Landborg; Jeffrey Cerkvenik; Emanuel Kanal
Journal:  J Am Coll Cardiol       Date:  2015-05-14       Impact factor: 24.094

5.  Safe magnetic resonance imaging scanning of patients with cardiac rhythm devices: a role for computer modeling.

Authors:  Bruce L Wilkoff; Timothy Albert; Mariya Lazebnik; Sung-Min Park; Jonathan Edmonson; Ben Herberg; John Golnitz; Sandy Wixon; Joel Peltier; Hyun Yoon; Sarah Willey; Yair Safriel
Journal:  Heart Rhythm       Date:  2013-10-04       Impact factor: 6.343

6.  Ensuring reliability of safety-critical clinical applications of computational cardiac models.

Authors:  Pras Pathmanathan; Richard A Gray
Journal:  Front Physiol       Date:  2013-12-11       Impact factor: 4.566

  6 in total

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