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  1. Book ; Online ; E-Book: MRI of the Spine

    Morrison, William B. / Carrino, John A. / Flanders, Adam E.

    A Guide for Orthopedic Surgeons

    2020  

    Abstract: Utilizing plentiful radiological images to illustrate each topic, this text is a comprehensive and descriptive review of magnetic resonance imaging (MRI) interpretation for the spine, emphasizing standardized nomenclature and grading schemes. The book ... ...

    Author's details edited by William B. Morrison, John A. Carrino, Adam E. Flanders
    Abstract Utilizing plentiful radiological images to illustrate each topic, this text is a comprehensive and descriptive review of magnetic resonance imaging (MRI) interpretation for the spine, emphasizing standardized nomenclature and grading schemes. The book begins with current MR imaging protocols, including indication, sequencing and advanced imaging techniques, and a review of the relevant anatomy of the spine and its anomalies. Subsequent chapters encompass topics of trauma, degenerative disease, infection, inflammatory disease, as well as neoplastic and metabolic disease. Spinal cord and dural lesions will also be presented, with additional chapters dedicated to MRI evaluation of the post-operative patient. The format is reader-friendly, utilizing an efficient presentation of the essential principles and important findings on MR images of the spine, with a wealth of high-quality figures, graphics and tables for differential diagnosis as well as tips and tricks from experts in the field. Presenting the most up-to-date protocols and suggested interpretations, MRI of the Spine will be a solid reference for orthopedic surgeons, sports medicine specialists, neurosurgeons, radiologists and all clinicians and support staff caring for the spine.
    Keywords Orthopedics ; Radiology ; Nervous system/Surgery ; Orthopaedics ; Neurosurgery
    Subject code 617.37507548
    Language English
    Size 1 online resource (269 pages)
    Edition 1st ed. 2020.
    Publisher Springer International Publishing ; Imprint: Springer
    Publishing place Cham
    Document type Book ; Online ; E-Book
    Note Includes index.
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 3-030-43627-6 ; 3-030-43626-8 ; 978-3-030-43627-8 ; 978-3-030-43626-1
    DOI 10.1007/978-3-030-43627-8
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Beyond the

    Shih, George / Flanders, Adam E

    AJR. American journal of roentgenology

    2024  , Page(s) 1

    Language English
    Publishing date 2024-05-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 82076-3
    ISSN 1546-3141 ; 0361-803X ; 0092-5381
    ISSN (online) 1546-3141
    ISSN 0361-803X ; 0092-5381
    DOI 10.2214/AJR.23.30331
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: NextGen Neuroradiology AI.

    Flanders, Adam E / Geis, J Raymond

    Radiology

    2023  Volume 309, Issue 2, Page(s) e231426

    Language English
    Publishing date 2023-11-21
    Publishing country United States
    Document type Editorial
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.231426
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book: Spinal trauma

    Schwartz, Eric D. / Flanders, Adam E.

    imaging, diagnosis, and management

    2007  

    Author's details Eric D. Schwartz ; Adam E. Flanders
    Keywords Spinal Cord Injuries / diagnosis ; Diagnostic Imaging / methods ; Spinal Cord Injuries / therapy
    Language English
    Size XV, 419 S. : Ill.
    Publisher Wolters Kluwer/Lippincott Williams & Wilkins
    Publishing place Philadelphia u.a.
    Publishing country United States
    Document type Book
    HBZ-ID HT014886621
    ISBN 0-7817-6248-0 ; 978-0-7817-6248-9
    Database Catalogue ZB MED Medicine, Health

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  5. Article ; Online: Counterpoint: Why Some Imposed Structure is a Necessity in Radiology Reporting.

    Flanders, Adam E

    Academic radiology

    2019  Volume 26, Issue 7, Page(s) 983–985

    MeSH term(s) Radiography ; Radiology ; Radiology Information Systems
    Language English
    Publishing date 2019-04-10
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 1355509-1
    ISSN 1878-4046 ; 1076-6332
    ISSN (online) 1878-4046
    ISSN 1076-6332
    DOI 10.1016/j.acra.2019.03.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Machine Learning Detection of Intracranial Aneurysms-Will It Play in Peoria?

    Flanders, Adam E

    Radiology

    2018  Volume 290, Issue 1, Page(s) 195–197

    MeSH term(s) Cerebral Angiography ; Deep Learning ; Humans ; Intracranial Aneurysm ; Machine Learning
    Language English
    Publishing date 2018-10-23
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.2018182225
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Data Liberation and Crowdsourcing in Medical Research: The Intersection of Collective and Artificial Intelligence.

    Wilson, Jefferson R / Prevedello, Luciano M / Witiw, Christopher D / Flanders, Adam E / Colak, Errol

    Radiology. Artificial intelligence

    2024  Volume 6, Issue 1, Page(s) e230006

    Abstract: In spite of an exponential increase in the volume of medical data produced globally, much of these data are inaccessible to those who might best use them to develop improved health care solutions through the application of advanced analytics such as ... ...

    Abstract In spite of an exponential increase in the volume of medical data produced globally, much of these data are inaccessible to those who might best use them to develop improved health care solutions through the application of advanced analytics such as artificial intelligence. Data liberation and crowdsourcing represent two distinct but interrelated approaches to bridging existing data silos and accelerating the pace of innovation internationally. In this article, we examine these concepts in the context of medical artificial intelligence research, summarizing their potential benefits, identifying potential pitfalls, and ultimately making a case for their expanded use going forward. A practical example of a crowdsourced competition using an international medical imaging dataset is provided.
    MeSH term(s) Animals ; Crowdsourcing ; Artificial Intelligence ; Biomedical Research ; Health Facilities ; Holometabola
    Language English
    Publishing date 2024-01-17
    Publishing country United States
    Document type Journal Article
    ISSN 2638-6100
    ISSN (online) 2638-6100
    DOI 10.1148/ryai.230006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Proceedings From the 2022 ACR-RSNA Workshop on Safety, Effectiveness, Reliability, and Transparency in AI.

    Larson, David B / Doo, Florence X / Allen, Bibb / Mongan, John / Flanders, Adam E / Wald, Christoph

    Journal of the American College of Radiology : JACR

    2024  

    Abstract: Despite the surge in artificial intelligence (AI) development for health care applications, particularly for medical imaging applications, there has been limited adoption of such AI tools into clinical practice. During a 1-day workshop in November 2022, ... ...

    Abstract Despite the surge in artificial intelligence (AI) development for health care applications, particularly for medical imaging applications, there has been limited adoption of such AI tools into clinical practice. During a 1-day workshop in November 2022, co-organized by the ACR and the RSNA, participants outlined experiences and problems with implementing AI in clinical practice, defined the needs of various stakeholders in the AI ecosystem, and elicited potential solutions and strategies related to the safety, effectiveness, reliability, and transparency of AI algorithms. Participants included radiologists from academic and community radiology practices, informatics leaders responsible for AI implementation, regulatory agency employees, and specialty society representatives. The major themes that emerged fell into two categories: (1) AI product development and (2) implementation of AI-based applications in clinical practice. In particular, participants highlighted key aspects of AI product development to include clear clinical task definitions; well-curated data from diverse geographic, economic, and health care settings; standards and mechanisms to monitor model reliability; and transparency regarding model performance, both in controlled and real-world settings. For implementation, participants emphasized the need for strong institutional governance; systematic evaluation, selection, and validation methods conducted by local teams; seamless integration into the clinical workflow; performance monitoring and support by local teams; performance monitoring by external entities; and alignment of incentives through credentialing and reimbursement. Participants predicted that clinical implementation of AI in radiology will continue to be limited until the safety, effectiveness, reliability, and transparency of such tools are more fully addressed.
    Language English
    Publishing date 2024-02-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2274861-1
    ISSN 1558-349X ; 1546-1440
    ISSN (online) 1558-349X
    ISSN 1546-1440
    DOI 10.1016/j.jacr.2024.01.024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Update on New Imaging Techniques for Trauma.

    Shah, Lubdha M / Flanders, Adam E

    Neurosurgery clinics of North America

    2017  Volume 28, Issue 1, Page(s) 1–21

    Abstract: Computed tomography (CT) and MRI are complementary imaging modalities for the evaluation of the traumatic spine. Osseous delineation is best assessed with CT, whereas MRI gives superb soft tissue description. Awareness of the strengths and pitfalls of ... ...

    Abstract Computed tomography (CT) and MRI are complementary imaging modalities for the evaluation of the traumatic spine. Osseous delineation is best assessed with CT, whereas MRI gives superb soft tissue description. Awareness of the strengths and pitfalls of each modality is critical in the accurate interpretation of images. Advances in MR imaging of the spine, particularly of the spinal cord, provide glimpses into to the pathobiological mechanism of spinal cord injury. Innovative techniques relay microstructural information about the integrity of the axons and myelin sheaths. In addition to clinical status, imaging features may be helpful in prognostication and in monitoring therapeutic interventions.
    MeSH term(s) Diffusion Tensor Imaging ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; Multidetector Computed Tomography ; Spinal Injuries/diagnostic imaging ; Spine/diagnostic imaging
    Language English
    Publishing date 2017-01
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1196855-2
    ISSN 1558-1349 ; 1042-3680
    ISSN (online) 1558-1349
    ISSN 1042-3680
    DOI 10.1016/j.nec.2016.08.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Erratum for: Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge.

    Lee, Ghee Rye / Flanders, Adam E / Richards, Tyler / Kitamura, Felipe / Colak, Errol / Lin, Hui Ming / Ball, Robyn L / Talbott, Jason / Prevedello, Luciano M

    Radiology. Artificial intelligence

    2024  Volume 6, Issue 3, Page(s) e249002

    Language English
    Publishing date 2024-04-24
    Publishing country United States
    Document type Published Erratum
    ISSN 2638-6100
    ISSN (online) 2638-6100
    DOI 10.1148/ryai.249002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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