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5 in total

1. TBC: A simple algorithm to rule out abnormalities in electrocardiograms of patients with pacemakers.

Authors: Javier Higueras; Carmen Olmos; Julián Palacios-Rubio; Juan Carlos Gómez-Polo; Pedro Martínez-Losas; Virginia Ruiz-Pizarro; Ramón Bover; Julián Pérez-Villacastín
Journal: Cardiol J Date: 2018-08-29 Impact factor: 2.737

2. A qualitative study on the development and rectification of advanced medical students' misconceptions about the physiological electrocardiogram (ECG).

Authors: Mathias Trauschke
Journal: GMS J Med Educ Date: 2019-11-15

3. Automatic Triage of 12-Lead ECGs Using Deep Convolutional Neural Networks.

Authors: Rutger R van de Leur; Lennart J Blom; Efstratios Gavves; Irene E Hof; Jeroen F van der Heijden; Nick C Clappers; Pieter A Doevendans; Rutger J Hassink; René van Es
Journal: J Am Heart Assoc Date: 2020-05-14 Impact factor: 5.501

4. A pragmatic randomised controlled trial of SAFMEDS to produce fluency in interpretation of electrocardiograms.

Authors: Louise Rabbitt; Dara Byrne; Paul O'Connor; Miroslawa Gorecka; Alan Jacobsen; Sinéad Lydon
Journal: BMC Med Educ Date: 2020-03-31 Impact factor: 2.463

5. Is computer-assisted instruction more effective than other educational methods in achieving ECG competence amongst medical students and residents? A systematic review and meta-analysis.

Authors: Charle André Viljoen; Rob Scott Millar; Mark E Engel; Mary Shelton; Vanessa Burch
Journal: BMJ Open Date: 2019-11-18 Impact factor: 2.692

5 in total