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  1. Article ; Online: Top stories on Brugada syndrome.

    Wilde, Arthur A M

    Heart rhythm

    2023  Volume 21, Issue 1, Page(s) 126–127

    MeSH term(s) Humans ; Brugada Syndrome/diagnosis ; Brugada Syndrome/therapy ; Electrocardiography
    Language English
    Publishing date 2023-12-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2229357-7
    ISSN 1556-3871 ; 1547-5271
    ISSN (online) 1556-3871
    ISSN 1547-5271
    DOI 10.1016/j.hrthm.2023.09.026
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6278: Show issues Location:
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  2. Book: Founder mutations in inherited cardiac diseases in the Netherlands

    Wilde, Arthur A.M. / Tintelen, J. Peter van

    2014  

    Keywords Founder mutations ; Genetics ; Cardiovascular abnormalities ; Hereditary cardiovascular diseases ; Cardiology ; Heart disease ; Genome ; DNA ; Genetic modifiers ; Cardiogenetics
    Language English
    Size IX, 102 S. : Ill., graph. Darst., 279 mm x 210 mm, 294 g
    Publisher Bohn Stafleu van Loghum
    Publishing place Houten
    Publishing country Netherlands
    Document type Book
    HBZ-ID HT018598953
    ISBN 978-90-368-0704-3 ; 90-368-0704-2
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    2015 A 1244 available for loan (reading room) Lesesaal EG

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  3. Article ; Online: Risk Stratification in Brugada Syndrome: How Low Can We Go?

    Wilde, Arthur A M / Saenen, Johan

    Circulation

    2023  Volume 148, Issue 20, Page(s) 1556–1558

    MeSH term(s) Humans ; Brugada Syndrome/diagnosis ; Brugada Syndrome/therapy ; Prospective Studies ; Prognosis ; Risk Assessment
    Language English
    Publishing date 2023-11-13
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 80099-5
    ISSN 1524-4539 ; 0009-7322 ; 0069-4193 ; 0065-8499
    ISSN (online) 1524-4539
    ISSN 0009-7322 ; 0069-4193 ; 0065-8499
    DOI 10.1161/CIRCULATIONAHA.123.066697
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ui IV Zs.60: Show issues Location:
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  4. Article ; Online: Is right ventricular outflow tract epicardial substrate ablation the standard of care in high-risk Brugada syndrome?

    Behr, Elijah R / Conte, Giulio / Wilde, Arthur

    Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology

    2024  Volume 26, Issue 1

    MeSH term(s) Humans ; Brugada Syndrome/diagnosis ; Brugada Syndrome/surgery ; Brugada Syndrome/complications ; Defibrillators, Implantable ; Standard of Care ; Heart Ventricles/diagnostic imaging ; Heart Ventricles/surgery ; Heart Ventricles/physiopathology ; Arrhythmias, Cardiac/physiopathology ; Catheter Ablation/adverse effects
    Language English
    Publishing date 2024-01-22
    Publishing country England
    Document type Editorial ; Comment
    ZDB-ID 1449879-0
    ISSN 1532-2092 ; 1099-5129
    ISSN (online) 1532-2092
    ISSN 1099-5129
    DOI 10.1093/europace/euae020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 5434: Show issues Location:
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  5. Article ; Online: Importance of Validating Guideline Recommendations.

    Wilde, Arthur A M

    Circulation journal : official journal of the Japanese Circulation Society

    2020  Volume 84, Issue 12, Page(s) 2136–2137

    MeSH term(s) Brugada Syndrome ; Humans ; Japan ; Risk Assessment
    Language English
    Publishing date 2020-10-27
    Publishing country Japan
    Document type Journal Article ; Comment
    ZDB-ID 2068090-9
    ISSN 1347-4820 ; 1346-9843
    ISSN (online) 1347-4820
    ISSN 1346-9843
    DOI 10.1253/circj.CJ-20-1047
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Pushing prognostic boundaries in Brugada syndrome: Trying to predict the unpredictable.

    Asatryan, Babken / Postema, Pieter G / Wilde, Arthur A M

    Heart rhythm

    2023  Volume 20, Issue 10, Page(s) 1368–1369

    MeSH term(s) Humans ; Brugada Syndrome/diagnosis ; Brugada Syndrome/therapy ; Prognosis ; Ventricular Fibrillation ; Death, Sudden, Cardiac ; Electrocardiography
    Language English
    Publishing date 2023-07-13
    Publishing country United States
    Document type Editorial ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 2229357-7
    ISSN 1556-3871 ; 1547-5271
    ISSN (online) 1556-3871
    ISSN 1547-5271
    DOI 10.1016/j.hrthm.2023.07.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6278: Show issues Location:
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  7. Article ; Online: Toward advanced diagnosis and management of inherited arrhythmia syndromes: Harnessing the capabilities of artificial intelligence and machine learning.

    Asatryan, Babken / Bleijendaal, Hidde / Wilde, Arthur A M

    Heart rhythm

    2023  Volume 20, Issue 10, Page(s) 1399–1407

    Abstract: The use of advanced computational technologies, such as artificial intelligence (AI), is now exerting a significant influence on various aspects of life, including health care and science. AI has garnered remarkable public notice with the release of deep ...

    Abstract The use of advanced computational technologies, such as artificial intelligence (AI), is now exerting a significant influence on various aspects of life, including health care and science. AI has garnered remarkable public notice with the release of deep learning models that can model anything from artwork to academic papers with minimal human intervention. Machine learning, a method that uses algorithms to extract information from raw data and represent it in a model, and deep learning, a method that uses multiple layers to progressively extract higher-level features from the raw input with minimal human intervention, are increasingly leveraged to tackle problems in the health sector, including utilization for clinical decision support in cardiovascular medicine. Inherited arrhythmia syndromes are a clinical domain where multiple unanswered questions remain despite unprecedented progress over the past 2 decades with the introduction of large panel genetic testing and the first steps in precision medicine. In particular, AI tools can help address gaps in clinical diagnosis by identifying individuals with concealed or transient phenotypes; enhance risk stratification by elevating recognition of underlying risk burden beyond widely recognized risk factors; improve prediction of response to therapy, and further prognostication. In this contemporary review, we provide a summary of the AI models developed to solve challenges in inherited arrhythmia syndromes and also outline gaps that can be filled with the development of intelligent AI models.
    Language English
    Publishing date 2023-07-12
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2229357-7
    ISSN 1556-3871 ; 1547-5271
    ISSN (online) 1556-3871
    ISSN 1547-5271
    DOI 10.1016/j.hrthm.2023.07.001
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  8. Article ; Online: Counterpoint: Ablation in long QT syndrome.

    Wilde, Arthur A M / Ackerman, Michael J

    Heart rhythm

    2023  Volume 20, Issue 12, Page(s) 1785–1786

    MeSH term(s) Humans ; Long QT Syndrome/surgery ; Ventricular Fibrillation/surgery ; Electrocardiography
    Language English
    Publishing date 2023-09-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2229357-7
    ISSN 1556-3871 ; 1547-5271
    ISSN (online) 1556-3871
    ISSN 1547-5271
    DOI 10.1016/j.hrthm.2023.09.018
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Long QT Syndrome, a Diagnosis That Warrants Expert Opinion and Expert Centers.

    Wilde, Arthur A M / Schwartz, Peter J

    Journal of the American College of Cardiology

    2023  Volume 81, Issue 5, Page(s) 487–489

    MeSH term(s) Humans ; Expert Testimony ; Long QT Syndrome/diagnosis ; Long QT Syndrome/therapy ; Electrocardiography
    Language English
    Publishing date 2023-01-10
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 605507-2
    ISSN 1558-3597 ; 0735-1097
    ISSN (online) 1558-3597
    ISSN 0735-1097
    DOI 10.1016/j.jacc.2022.11.037
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  10. Article ; Online: From a Polish 3-Year-Old Boy Who Visited Maastricht to Automatic Detection Using Deep Learning: Brugada Syndrome Is Being Revolutionised.

    Bleijendaal, Hidde / Wilde, Arthur A M

    The Canadian journal of cardiology

    2021  Volume 38, Issue 2, Page(s) 149–151

    MeSH term(s) Brugada Syndrome/diagnosis ; Child, Preschool ; Deep Learning ; Electrocardiography ; Humans ; Male ; Poland
    Language English
    Publishing date 2021-09-24
    Publishing country England
    Document type Editorial ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 632813-1
    ISSN 1916-7075 ; 0828-282X
    ISSN (online) 1916-7075
    ISSN 0828-282X
    DOI 10.1016/j.cjca.2021.09.016
    Database MEDical Literature Analysis and Retrieval System OnLINE

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