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  1. Article ; Online: Artificial intelligence-driven cardiac amyloidosis screening.

    Abdaem, Jacob / Miller, Robert J H

    The Lancet. Digital health

    2024  Volume 6, Issue 4, Page(s) e231–e232

    MeSH term(s) Humans ; Artificial Intelligence ; Amyloidosis/diagnosis
    Language English
    Publishing date 2024-03-22
    Publishing country England
    Document type Journal Article
    ISSN 2589-7500
    ISSN (online) 2589-7500
    DOI 10.1016/S2589-7500(24)00024-4
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  2. Article ; Online: Artificial Intelligence in Nuclear Cardiology.

    Miller, Robert J H

    Cardiology clinics

    2023  Volume 41, Issue 2, Page(s) 151–161

    Abstract: Artificial intelligence (AI) encompasses a variety of computer algorithms that have a wide range of potential clinical applications in nuclear cardiology. This article will introduce core terminology and concepts for AI including classifications of AI as ...

    Abstract Artificial intelligence (AI) encompasses a variety of computer algorithms that have a wide range of potential clinical applications in nuclear cardiology. This article will introduce core terminology and concepts for AI including classifications of AI as well as training and testing regimens. We will then highlight the potential role for AI to improve image registration and image quality. Next, we will discuss methods for AI-driven image attenuation correction. Finally, we will review advancements in machine learning and deep-learning applications for disease diagnosis and risk stratification, including efforts to improve clinical translation of this valuable technology with explainable AI models.
    MeSH term(s) Humans ; Artificial Intelligence ; Deep Learning ; Algorithms ; Machine Learning ; Cardiology/methods
    Language English
    Publishing date 2023-02-20
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 1196385-2
    ISSN 1558-2264 ; 0733-8651
    ISSN (online) 1558-2264
    ISSN 0733-8651
    DOI 10.1016/j.ccl.2023.01.004
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  3. Article ; Online: In the thick of it: highlighting the importance of SPECT imaging.

    Hijazi, Waseem / Miller, Robert J H

    Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology

    2023  Volume 30, Issue 4, Page(s) 1733–1734

    MeSH term(s) Humans ; Tomography, Emission-Computed, Single-Photon/methods
    Language English
    Publishing date 2023-06-29
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 1212505-2
    ISSN 1532-6551 ; 1071-3581
    ISSN (online) 1532-6551
    ISSN 1071-3581
    DOI 10.1007/s12350-023-03326-z
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  4. Article ; Online: Deep learning to automate SPECT MPI myocardial reorientation.

    Hijazi, Waseem / Miller, Robert J H

    Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology

    2023  Volume 30, Issue 5, Page(s) 1836–1837

    MeSH term(s) Humans ; Deep Learning ; Tomography, Emission-Computed, Single-Photon/methods ; Coronary Artery Disease ; Myocardial Perfusion Imaging/methods
    Language English
    Publishing date 2023-04-26
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1212505-2
    ISSN 1532-6551 ; 1071-3581
    ISSN (online) 1532-6551
    ISSN 1071-3581
    DOI 10.1007/s12350-023-03260-0
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  5. Article ; Online: Developing a framework for evaluating and comparing risk models.

    Hijazi, Waseem / Miller, Robert J H

    Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology

    2022  Volume 30, Issue 1, Page(s) 59–61

    Language English
    Publishing date 2022-12-27
    Publishing country United States
    Document type Editorial
    ZDB-ID 1212505-2
    ISSN 1532-6551 ; 1071-3581
    ISSN (online) 1532-6551
    ISSN 1071-3581
    DOI 10.1007/s12350-022-03036-y
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  6. Article ; Online: Artificial Intelligence in Nuclear Cardiology: An Update and Future Trends.

    Miller, Robert J H / Slomka, Piotr J

    Seminars in nuclear medicine

    2024  

    Abstract: Myocardial perfusion imaging (MPI), using either single photon emission computed tomography (SPECT) or positron emission tomography (PET), is one of the most commonly ordered cardiac imaging tests, with prominent clinical roles for disease diagnosis and ... ...

    Abstract Myocardial perfusion imaging (MPI), using either single photon emission computed tomography (SPECT) or positron emission tomography (PET), is one of the most commonly ordered cardiac imaging tests, with prominent clinical roles for disease diagnosis and risk prediction. Artificial intelligence (AI) could potentially play a role in many steps along the typical MPI workflow, from image acquisition through to clinical reporting and risk estimation. AI can be utilized to improve image quality, reducing radiation exposure and image acquisition times. Once images are acquired, AI can help optimize motion correction and image registration during image reconstruction or provide direct image attenuation correction. Utilizing these image sets, AI can segment a number of anatomic features from associated computed tomographic imaging or even generate synthetic attenuation imaging. Lastly, AI may play an important role in disease diagnosis or risk prediction by combining the large number of potentially important clinical, stress, and imaging-related variables. This review will focus on the most recent developments in the field, providing clinicians and researchers with a timely update on the field. Additionally, it will discuss future trends including applications of AI during multiple points of the typical MPI workflow to maximize clinical utility and methods to maximize the information that can be obtained from hybrid imaging.
    Language English
    Publishing date 2024-03-22
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 120248-0
    ISSN 1558-4623 ; 0001-2998
    ISSN (online) 1558-4623
    ISSN 0001-2998
    DOI 10.1053/j.semnuclmed.2024.02.005
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  7. Book ; Online ; E-Book: Manual of environmental microbiology

    Yates, Marylynn V. / Nakatsu, Cindy H. / Miller, Robert V. / Pillai, Suresh D.

    2016  

    Author's details editor in chief: Marylynn V. Yates ; editors: Cindy H. Nakatsu, Robert V. Miller, Suresh D. Pillai
    Keywords Microbial ecology ; Sanitary microbiology
    Language English
    Size 1 Online-Ressource (1042 Seiten), Illustrationen
    Edition Fourth edition
    Publisher ASM Press
    Publishing place Washington, DC
    Publishing country United States
    Document type Book ; Online ; E-Book
    Note English ; Includes bibliographical references and index
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020563739
    ISBN 978-1-683-67323-1 ; 9781555818821 ; 9781555816025 ; 1-683-67323-9 ; 155581882X ; 1555816029
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  8. Article ; Online: Can Deep Learning Detect Incidental Abnormal Cardiac Uptake Related to Amyloidosis on Routine Bone Scintigraphy?

    Slomka, Piotr J / Miller, Robert J H

    JACC. Cardiovascular imaging

    2023  Volume 16, Issue 8, Page(s) 1096–1098

    MeSH term(s) Humans ; Deep Learning ; Predictive Value of Tests ; Tomography, X-Ray Computed ; Amyloidosis/diagnostic imaging ; Radionuclide Imaging ; Cardiomyopathies/diagnostic imaging
    Language English
    Publishing date 2023-04-12
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 2491503-8
    ISSN 1876-7591 ; 1936-878X
    ISSN (online) 1876-7591
    ISSN 1936-878X
    DOI 10.1016/j.jcmg.2023.01.018
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  9. Article ; Online: Un(b)locking therapeutic options: Potential for calcium channel blockers in heart failure with non-reduced left ventricular ejection fraction.

    Miller, Robert J H / Howlett, Jonathan G

    European journal of heart failure

    2023  Volume 25, Issue 12, Page(s) 2215–2217

    MeSH term(s) Humans ; Heart Failure/drug therapy ; Stroke Volume ; Calcium Channel Blockers/therapeutic use ; Ventricular Function, Left ; Ventricular Dysfunction, Left/drug therapy
    Chemical Substances Calcium Channel Blockers
    Language English
    Publishing date 2023-11-15
    Publishing country England
    Document type Editorial
    ZDB-ID 1483672-5
    ISSN 1879-0844 ; 1388-9842
    ISSN (online) 1879-0844
    ISSN 1388-9842
    DOI 10.1002/ejhf.3080
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  10. Article ; Online: Quantifying is believing: Techniques for evaluating transthyretin cardiac amyloidosis burden for expanded clinical applications.

    Miller, Robert J H / Fine, Nowell

    Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology

    2021  Volume 29, Issue 6, Page(s) 3111–3114

    MeSH term(s) Humans ; Prealbumin ; Amyloid Neuropathies, Familial/diagnostic imaging ; Cardiomyopathies/diagnostic imaging
    Chemical Substances Prealbumin
    Language English
    Publishing date 2021-12-17
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1212505-2
    ISSN 1532-6551 ; 1071-3581
    ISSN (online) 1532-6551
    ISSN 1071-3581
    DOI 10.1007/s12350-021-02880-8
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