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  1. Article ; Online: Annals Q&A with Dr. Eric Topol. Interview by Truman J Milling Jr.

    Topol, Eric

    Annals of emergency medicine

    2012  Volume 60, Issue 4, Page(s) 15A–16A

    MeSH term(s) Economics, Medical ; Emergency Medicine ; Humans ; Medicine/methods ; Point-of-Care Systems ; Precision Medicine/methods
    Language English
    Publishing date 2012-11-16
    Publishing country United States
    Document type Interview
    ZDB-ID 603080-4
    ISSN 1097-6760 ; 0196-0644
    ISSN (online) 1097-6760
    ISSN 0196-0644
    DOI 10.1016/j.annemergmed.2012.06.014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  2. Article: Eric J. Topol, MD: how to manage patients with unstable angina. Interview by Richard R. Kerr and Ray W. Gifford, JR., MD.

    Topol, E J

    Geriatrics

    1994  Volume 49, Issue 10, Page(s) 49–54

    MeSH term(s) Aged ; Angina, Unstable/diagnosis ; Angina, Unstable/therapy ; Angiography ; Calcium Channel Blockers/therapeutic use ; Coronary Disease/diagnosis ; Diagnosis, Differential ; Electrocardiography ; Exercise Test ; Hospitalization ; Humans ; Nitroglycerin/therapeutic use ; Risk Assessment
    Chemical Substances Calcium Channel Blockers ; Nitroglycerin (G59M7S0WS3)
    Language English
    Publishing date 1994-10
    Publishing country United States
    Document type Interview
    ZDB-ID 2188-x
    ISSN 1936-5764 ; 0016-867X
    ISSN (online) 1936-5764
    ISSN 0016-867X
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ud II Zs.138: Show issues Location:
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  3. Book ; Online ; E-Book: Artificial intelligence in clinical practice

    Topol, Eric J. / Krittanawong, Chayakrit

    how AI technologies impact medical research and clinics

    2024  

    Author's details edited by Chayakrit Krittanawong
    Language English
    Size 1 Online-Ressource
    Publisher Academic Press
    Publishing place Amsterdam
    Publishing country Netherlands
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT030734472
    ISBN 9780443156892 ; 9780443156885 ; 0443156891 ; 0443156883
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Book ; Online ; E-Book: Deep medicine

    Topol, Eric J. / Lenz, Guido

    künstliche Intelligenz in der Medizin : wie KI das Gesundheitswesen menschlicher macht

    (mitp Professional)

    2020  

    Title translation Deep medicine
    Author's details Eric Topol ; Übersetzung aus dem Amerikanischen von Guido Lenz
    Series title mitp Professional
    Keywords artificial intelligence ; Deep Learning ; Diagnose ; fortschritt medizin ; gesund ; Gesundheit ; Gesundheitssystem ; Gesundsheitswesen ; KI ; krankenkasse ; Künstliche Intelligenz ; lebenserwartung ; Machine Learning ; Medizin ; pflege ; zukunftsforscher ; zukunftsmedizin ; Medizintechnik
    Subject Medizinische Technik ; Medizin ; Artificial intelligence ; Computerunterstützte Intelligenz ; Maschinelle Intelligenz ; KI
    Subject code 004
    Language German
    Size 1 Online-Ressouce (335 Seiten), Illustrationen, Diagramme
    Edition 1. Auflage
    Publisher mitp
    Publishing place Frechen
    Publishing country Germany
    Document type Book ; Online ; E-Book
    Note Aus dem Amerikanischen übersetzt
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020430626
    ISBN 978-3-7475-0097-2 ; 978-3-7475-0096-5 ; 9783747500958 ; 3-7475-0097-8 ; 3-7475-0096-X ; 3747500951
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Book: Textbook of interventional cardiology

    Topol, Eric J. / Teirstein, Paul S.

    2020  

    Author's details Eric J. Topol, Paul S. Teirstein
    Keywords Cardiovascular Diseases / surgery ; Cardiovascular Surgical Procedures / methods ; Heart/Interventional radiology ; Angioplasty
    Subject code 617.412059
    Language English
    Size xvi, 1163 Seiten, Illustrationen, Diagramme, 29 cm
    Edition Eighth edition
    Publisher Elsevier
    Publishing place Amsterdam
    Publishing country Netherlands
    Document type Book
    Note Zugang zur Online-Ausgabe über Code
    HBZ-ID HT020337280
    ISBN 978-0-323-56814-2 ; 0-323-56814-9
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    2020 A 568 available for loan (reading room) Lesesaal EG
    Zugang zur Online-Ausgabe über Code aus lizenzrechtlichen Gründen nicht verfügbar

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  6. Article ; Online: Toward the eradication of medical diagnostic errors.

    Topol, Eric J

    Science (New York, N.Y.)

    2024  Volume 383, Issue 6681, Page(s) eadn9602

    Abstract: The medical community does not broadcast the problem, but there are many studies that have reinforced a serious issue with diagnostic errors. A recent study concluded: "We estimate that nearly 800,000 Americans die or are permanently disabled by ... ...

    Abstract The medical community does not broadcast the problem, but there are many studies that have reinforced a serious issue with diagnostic errors. A recent study concluded: "We estimate that nearly 800,000 Americans die or are permanently disabled by diagnostic errors each year." Diagnostic errors are inaccurate assessments of a patient's root cause of illness, such as missing a heart attack or infection or assigning the wrong diagnosis of pneumonia when the correct one is pulmonary embolism. Despite ever-increasing use of medical imaging and laboratory tests intended to promote diagnostic accuracy, there is nothing to suggest improvement since the report by the National Academies of Sciences, Engineering and Medicine in 2015, which provided a conservative estimate that 5% of adults experience a diagnostic error each year, and that most people will experience at least one in their lifetime.
    MeSH term(s) Adult ; Humans ; Diagnostic Errors/mortality ; Diagnostic Errors/prevention & control ; United States/epidemiology ; Artificial Intelligence ; Male ; Female ; Child
    Language English
    Publishing date 2024-01-25
    Publishing country United States
    Document type Editorial
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.adn9602
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Machines and empathy in medicine.

    Topol, Eric J

    Lancet (London, England)

    2023  Volume 402, Issue 10411, Page(s) 1411

    MeSH term(s) Humans ; Empathy ; Medicine ; Physician-Patient Relations
    Language English
    Publishing date 2023-08-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(23)02292-4
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  8. Article ; Online: The clinical potential of counterfactual AI models.

    Lee, Su-In / Topol, Eric J

    Lancet (London, England)

    2024  Volume 403, Issue 10428, Page(s) 717

    Language English
    Publishing date 2024-02-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(24)00313-1
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  9. Article ; Online: As artificial intelligence goes multimodal, medical applications multiply.

    Topol, Eric J

    Science (New York, N.Y.)

    2023  Volume 381, Issue 6663, Page(s) adk6139

    Abstract: Machines don't have eyes, but you wouldn't know that if you followed the progression of deep learning models for accurate interpretation of medical images, such as x-rays, computed tomography (CT) and magnetic resonance imaging (MRI) scans, pathology ... ...

    Abstract Machines don't have eyes, but you wouldn't know that if you followed the progression of deep learning models for accurate interpretation of medical images, such as x-rays, computed tomography (CT) and magnetic resonance imaging (MRI) scans, pathology slides, and retinal photos. Over the past several years, there has been a torrent of studies that have consistently demonstrated how powerful "machine eyes" can be, not only compared with medical experts but also for detecting features in medical images that are not readily discernable by humans. For example, a retinal scan is rich with information that people can't see, but machines can, providing a gateway to multiple aspects of human physiology, including blood pressure; glucose control; risk of Parkinson's, Alzheimer's, kidney, and hepatobiliary diseases; and the likelihood of heart attacks and strokes. As a cardiologist, I would not have envisioned that machine interpretation of an electrocardiogram would provide information about the individual's age, sex, anemia, risk of developing diabetes or arrhythmias, heart function and valve disease, kidney, or thyroid conditions. Likewise, applying deep learning to a pathology slide of tumor tissue can also provide insight about the site of origin, driver mutations, structural genomic variants, and prognosis. Although these machine vision capabilities for medical image interpretation may seem impressive, they foreshadow what is potentially far more expansive terrain for artificial intelligence (AI) to transform medicine. The big shift ahead is the ability to transcend narrow, unimodal tasks, confined to images, and broaden machine capabilities to include text and speech, encompassing all input modes, setting the foundation for multimodal AI.
    MeSH term(s) Humans ; Artificial Intelligence ; Blood Pressure ; Electrocardiography ; Genomics ; Image Processing, Computer-Assisted/methods
    Language English
    Publishing date 2023-09-15
    Publishing country United States
    Document type Editorial
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.adk6139
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  10. Article ; Online: Early detection of pancreatic cancer and AI risk partitioning.

    Maitra, Anirban / Topol, Eric J

    Lancet (London, England)

    2024  Volume 403, Issue 10435, Page(s) 1438

    MeSH term(s) Humans ; Early Detection of Cancer ; Pancreatic Neoplasms/diagnosis
    Language English
    Publishing date 2024-04-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(24)00690-1
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