Literature DB >> 31525077

Intelligent Artificial Intelligence: Present Considerations and Future Implications of Machine Learning Applied to Electrocardiogram Interpretation.

David P Kao1.   

Abstract

Entities:  

Keywords:  artificial intelligence; consensus; editorial; electronic health records; machine learning

Year:  2019        PMID: 31525077      PMCID: PMC6817332          DOI: 10.1161/CIRCOUTCOMES.119.006021

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN: 1941-7713


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  10 in total

1.  Artificial Intelligence and Black-Box Medical Decisions: Accuracy versus Explainability.

Authors:  Alex John London
Journal:  Hastings Cent Rep       Date:  2019-01       Impact factor: 2.683

2.  A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.

Authors:  Evangelia Christodoulou; Jie Ma; Gary S Collins; Ewout W Steyerberg; Jan Y Verbakel; Ben Van Calster
Journal:  J Clin Epidemiol       Date:  2019-02-11       Impact factor: 6.437

Review 3.  Computer-Interpreted Electrocardiograms: Benefits and Limitations.

Authors:  Jürg Schläpfer; Hein J Wellens
Journal:  J Am Coll Cardiol       Date:  2017-08-29       Impact factor: 24.094

4.  Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data.

Authors:  Milena A Gianfrancesco; Suzanne Tamang; Jinoos Yazdany; Gabriela Schmajuk
Journal:  JAMA Intern Med       Date:  2018-11-01       Impact factor: 21.873

Review 5.  Machine learning in cardiovascular medicine: are we there yet?

Authors:  Khader Shameer; Kipp W Johnson; Benjamin S Glicksberg; Joel T Dudley; Partho P Sengupta
Journal:  Heart       Date:  2018-01-19       Impact factor: 5.994

6.  The coming of age of artificial intelligence in medicine.

Authors:  Vimla L Patel; Edward H Shortliffe; Mario Stefanelli; Peter Szolovits; Michael R Berthold; Riccardo Bellazzi; Ameen Abu-Hanna
Journal:  Artif Intell Med       Date:  2008-09-13       Impact factor: 5.326

7.  Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers.

Authors:  George Hripcsak; Jon D Duke; Nigam H Shah; Christian G Reich; Vojtech Huser; Martijn J Schuemie; Marc A Suchard; Rae Woong Park; Ian Chi Kei Wong; Peter R Rijnbeek; Johan van der Lei; Nicole Pratt; G Niklas Norén; Yu-Chuan Li; Paul E Stang; David Madigan; Patrick B Ryan
Journal:  Stud Health Technol Inform       Date:  2015

8.  Clinical applications of machine learning algorithms: beyond the black box.

Authors:  David S Watson; Jenny Krutzinna; Ian N Bruce; Christopher Em Griffiths; Iain B McInnes; Michael R Barnes; Luciano Floridi
Journal:  BMJ       Date:  2019-03-12

9.  Artificial intelligence, bias and clinical safety.

Authors:  Robert Challen; Joshua Denny; Martin Pitt; Luke Gompels; Tom Edwards; Krasimira Tsaneva-Atanasova
Journal:  BMJ Qual Saf       Date:  2019-01-12       Impact factor: 7.035

10.  Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery.

Authors:  Geoffrey H Tison; Jeffrey Zhang; Francesca N Delling; Rahul C Deo
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2019-09-05
  10 in total

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