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  1. Book ; Online ; E-Book: Clinical electrocardiography

    Bayés de Luna, Antoni / Fiol-Sala, Miquel / Bayes-Genis, Antoni / Baranchuk, Adrian

    a textbook

    2022  

    Author's details Antoni Bayés de Luna, Miquel Fiol-Sala, Antoni Bayés-Genís, Adrian Baranchuk
    Keywords Electronic books ; Electrocardiography / methods ; Arrhythmias, cardiac / diagnosis ; Heart Diseases / diagnosis
    Language English
    Size 1 Online-Ressource (xiii, 591, [3] Seiten), Illustrationen
    Edition Fifth edition
    Publisher Wiley Blackwell
    Publishing place Hoboken, NJ
    Publishing country United States
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT021086924
    ISBN 978-1-119-53643-7 ; 978-1-119-53646-8 ; 9781119536451 ; 1-119-53643-X ; 1-119-53646-4 ; 1119536456
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Editorial Comment: Integrated Diagnosis of Hepatocellular Carcinoma-An Opportunity for Abdominal Radiologists.

    Luna, Antonio

    AJR. American journal of roentgenology

    2022  Volume 219, Issue 2, Page(s) 223

    MeSH term(s) Carcinoma, Hepatocellular/diagnostic imaging ; Carcinoma, Hepatocellular/pathology ; Humans ; Liver Neoplasms/diagnostic imaging ; Liver Neoplasms/pathology ; Radiologists ; Tomography, X-Ray Computed ; World Health Organization
    Language English
    Publishing date 2022-03-02
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 82076-3
    ISSN 1546-3141 ; 0361-803X ; 0092-5381
    ISSN (online) 1546-3141
    ISSN 0361-803X ; 0092-5381
    DOI 10.2214/AJR.22.27611
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ue I Zs.57: Show issues Location:
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  3. Book ; Online ; E-Book: Electrocardiography in ischemic heart disease

    Fiol-Sala, Miguel / Birnbaum, Yochai / Nikus, Kjell / Bayés de Luna, Antoni

    clinical and imaging correlations and prognostic implications

    (The Bayés de Luna ECG Collection)

    2020  

    Author's details Miguel Fiol-Sala, Yochai Birnbaum, Kjell Nikus, Antoni Bayés de Luna
    Series title The Bayés de Luna ECG Collection
    Keywords Electronic books ; Myocardial Ischemia / diagnosis
    Language English
    Size 1 Online-Ressource (xii, 424 Seiten), Illustrationen, Diagramme
    Edition Second edition
    Publisher Wiley Blackwell
    Publishing place Hoboken, NJ
    Publishing country United States
    Document type Book ; Online ; E-Book
    Note Description based on publisher supplied metadata and other sources
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020389802
    ISBN 978-1-119-42229-7 ; 978-1-119-42228-0 ; 9781119422662 ; 1-119-42229-9 ; 1-119-42228-0 ; 1119422663
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Book: Functional and molecular imaging in oncology

    Luna, Antonio

    (Magnetic resonance imaging clinics of North America ; volume 24, number 1 (February 2016))

    2016  

    Author's details editor Antonio Luna
    Series title Magnetic resonance imaging clinics of North America ; volume 24, number 1 (February 2016)
    Collection
    Language English
    Size xviii, 292 Seiten, Illustrationen
    Publisher Elsevier
    Publishing place Philadelphia, Pennsylvania
    Publishing country United States
    Document type Book
    HBZ-ID HT018850812
    ISBN 978-0-323-41698-6 ; 0-323-41698-5
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    Se 1375 -24,1- verfügbar in Königswinter Königswinter

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  5. Article ; Online: Invited Commentary: Radiogenomics Applied to Select Abdominal Tumors.

    Luna, Antonio

    Radiographics : a review publication of the Radiological Society of North America, Inc

    2020  Volume 40, Issue 6, Page(s) 1627–1630

    MeSH term(s) Abdominal Neoplasms/diagnostic imaging ; Abdominal Neoplasms/genetics ; Genomics ; Humans
    Language English
    Publishing date 2020-10-01
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 603172-9
    ISSN 1527-1323 ; 0271-5333
    ISSN (online) 1527-1323
    ISSN 0271-5333
    DOI 10.1148/rg.2020200194
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1751: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  6. Article ; Online: Beyond the

    Martín-Noguerol, Teodoro / Luna, Antonio

    AJR. American journal of roentgenology

    2023  Volume 221, Issue 6, Page(s) 849

    MeSH term(s) Humans ; Artificial Intelligence ; Deep Learning ; Diverticulitis ; Tomography, X-Ray Computed/methods ; Colonic Neoplasms ; Radiologists ; Carcinoma
    Language English
    Publishing date 2023-04-19
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 82076-3
    ISSN 1546-3141 ; 0361-803X ; 0092-5381
    ISSN (online) 1546-3141
    ISSN 0361-803X ; 0092-5381
    DOI 10.2214/AJR.23.29466
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Diffusion Tensor Imaging of Ulnar Neuropathy Caused by an Accessory Anconeus Muscle.

    Martín-Noguerol, Teodoro / Luna, Antonio

    Radiology

    2023  Volume 307, Issue 3, Page(s) e221854

    MeSH term(s) Humans ; Diffusion Tensor Imaging ; Elbow ; Muscle, Skeletal ; Ulnar Neuropathies ; Muscular Diseases ; Ulnar Nerve
    Language English
    Publishing date 2023-03-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.221854
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    Ue I Zs.106: Show issues Location:
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  8. Article ; Online: Standardized reporting systems for (which?) brain tumors from in the dark: cons of the BT-RADS.

    Martín-Noguerol, Teodoro / Cabrera-Zubizarreta, Alberto / Luna, Antonio

    European radiology

    2024  

    Language English
    Publishing date 2024-04-07
    Publishing country Germany
    Document type Editorial
    ZDB-ID 1085366-2
    ISSN 1432-1084 ; 0938-7994 ; 1613-3749
    ISSN (online) 1432-1084
    ISSN 0938-7994 ; 1613-3749
    DOI 10.1007/s00330-024-10715-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 3300: Show issues Location:
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  9. Article ; Online: AI in radiology: Legal responsibilities and the car paradox.

    Martín-Noguerol, Teodoro / López-Úbeda, Pilar / Luna, Antonio

    European journal of radiology

    2024  Volume 175, Page(s) 111462

    Abstract: The integration of AI in radiology raises significant legal questions about responsibility for errors. Radiologists fear AI may introduce new legal challenges, despite its potential to enhance diagnostic accuracy. AI tools, even those approved by ... ...

    Abstract The integration of AI in radiology raises significant legal questions about responsibility for errors. Radiologists fear AI may introduce new legal challenges, despite its potential to enhance diagnostic accuracy. AI tools, even those approved by regulatory bodies like the FDA or CE, are not perfect, posing a risk of failure. The key issue is how AI is implemented: as a stand-alone diagnostic tool or as an aid to radiologists. The latter approach could reduce undesired side effects. However, it's unclear who should be held liable for AI failures, with potential candidates ranging from engineers and radiologists involved in AI development to companies and department heads who integrate these tools into clinical practice. The EU's AI Act, recognizing AI's risks, categorizes applications by risk level, with many radiology-related AI tools considered high risk. Legal precedents in autonomous vehicles offer some guidance on assigning responsibility. Yet, the existing legal challenges in radiology, such as diagnostic errors, persist. AI's potential to improve diagnostics raises questions about the legal implications of not using available AI tools. For instance, an AI tool improving the detection of pediatric fractures could reduce legal risks. This situation parallels innovations like car turn signals, where ignoring available safety enhancements could lead to legal problems. The debate underscores the need for further research and regulation to clarify AI's role in radiology, balancing innovation with legal and ethical considerations.
    Language English
    Publishing date 2024-04-10
    Publishing country Ireland
    Document type Letter
    ZDB-ID 138815-0
    ISSN 1872-7727 ; 0720-048X
    ISSN (online) 1872-7727
    ISSN 0720-048X
    DOI 10.1016/j.ejrad.2024.111462
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  10. Article ; Online: Imagine there is no paperwork… it's easy if you try.

    Martín-Noguerol, Teodoro / López-Úbeda, Pilar / Luna, Antonio

    The British journal of radiology

    2024  Volume 97, Issue 1156, Page(s) 744–746

    Abstract: Artificial Intelligence (AI) applied to radiology is so vast that it provides applications ranging from becoming a complete replacement for radiologists (a potential threat) to an efficient paperwork-saving time assistant (an evident strength). Nowadays, ...

    Abstract Artificial Intelligence (AI) applied to radiology is so vast that it provides applications ranging from becoming a complete replacement for radiologists (a potential threat) to an efficient paperwork-saving time assistant (an evident strength). Nowadays, there are AI applications developed to facilitate the diagnostic process of radiologists without directly influencing (or replacing) the proper diagnostic decision step. These tools may help to reduce administrative workload, in different scenarios ranging from assisting in scheduling, study prioritization, or report communication, to helping with patient follow-up, including recommending additional exams. These are just a few of the highly time-consuming tasks that radiologists have to deal with every day in their routine workflow. These tasks hinder the time that radiologists should spend evaluating images and caring for patients, which will have a direct and negative impact on the quality of reports and patient attention, increasing the delay and waiting list of studies pending to be performed and reported. These types of AI applications should help to partially face this worldwide shortage of radiologists.
    MeSH term(s) Humans ; Artificial Intelligence ; Radiology/methods ; Radiologists ; Workflow ; Workload
    Language English
    Publishing date 2024-02-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2982-8
    ISSN 1748-880X ; 0007-1285
    ISSN (online) 1748-880X
    ISSN 0007-1285
    DOI 10.1093/bjr/tqae035
    Database MEDical Literature Analysis and Retrieval System OnLINE

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