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  1. Article ; Online: Correction to: Response to letter to the editor, "Neuroradiologic Manifestations of COVID-19: What the Emergency Radiologist Needs to Know".

    Goldberg, Michael F / Goldberg, Morton F

    Emergency radiology

    2021  Volume 28, Issue 2, Page(s) 441

    Language English
    Publishing date 2021-01-25
    Publishing country United States
    Document type Published Erratum
    ZDB-ID 1425144-9
    ISSN 1438-1435 ; 1070-3004
    ISSN (online) 1438-1435
    ISSN 1070-3004
    DOI 10.1007/s10140-021-01901-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Response to letter to the editor, "Neuroradiologic Manifestations of COVID-19: What the Emergency Radiologist Needs to Know".

    Goldberg, Michael F / Goldberg, Morton F

    Emergency radiology

    2021  Volume 28, Issue 2, Page(s) 439

    MeSH term(s) COVID-19 ; Emergency Service, Hospital ; Humans ; Radiologists ; SARS-CoV-2
    Language English
    Publishing date 2021-01-07
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 1425144-9
    ISSN 1438-1435 ; 1070-3004
    ISSN (online) 1438-1435
    ISSN 1070-3004
    DOI 10.1007/s10140-020-01873-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Neuroradiologic manifestations of COVID-19: what the emergency radiologist needs to know.

    Goldberg, Michael F / Goldberg, Morton F

    Emergency radiology

    2020  Volume 27, Issue 6, Page(s) 737–745

    Abstract: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is a global pandemic with a wide spectrum of clinical signs and symptoms. Neurologic manifestations are relatively common, with severe cases ... ...

    Abstract Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is a global pandemic with a wide spectrum of clinical signs and symptoms. Neurologic manifestations are relatively common, with severe cases often demonstrating striking findings on neuroimaging. Because the neuroradiologic findings may be the first evidence of COVID-19, the emergency radiologist has a critical role to play in not only the detection and management of the disease but also in the safety of other patients and hospital staff. Therefore, radiologists, especially those who specialize in emergency radiology, need to be aware of the neuroradiologic manifestations of COVID-19.
    MeSH term(s) Betacoronavirus ; Brain Diseases/diagnostic imaging ; Brain Diseases/virology ; COVID-19 ; Coronavirus Infections/complications ; Emergency Service, Hospital ; Humans ; Neuroimaging/methods ; Pandemics ; Pneumonia, Viral/complications ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-08-21
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1425144-9
    ISSN 1438-1435 ; 1070-3004
    ISSN (online) 1438-1435
    ISSN 1070-3004
    DOI 10.1007/s10140-020-01840-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Clinical decision support for bipolar depression using large language models.

    Perlis, Roy H / Goldberg, Joseph F / Ostacher, Michael J / Schneck, Christopher D

    Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

    2024  

    Abstract: Management of depressive episodes in bipolar disorder remains challenging for clinicians despite the availability of treatment guidelines. In other contexts, large language models have yielded promising results for supporting clinical decisionmaking. We ... ...

    Abstract Management of depressive episodes in bipolar disorder remains challenging for clinicians despite the availability of treatment guidelines. In other contexts, large language models have yielded promising results for supporting clinical decisionmaking. We developed 50 sets of clinical vignettes reflecting bipolar depression and presented them to experts in bipolar disorder, who were asked to identify 5 optimal next-step pharmacotherapies and 5 poor or contraindicated choices. The same vignettes were then presented to a large language model (GPT4-turbo; gpt-4-1106-preview), with or without augmentation by prompting with recent bipolar treatment guidelines, and asked to identify the optimal next-step pharmacotherapy. Overlap between model output and gold standard was estimated. The augmented model prioritized the expert-designated optimal choice for 508/1000 vignettes (50.8%, 95% CI 47.7-53.9%; Cohen's kappa = 0.31, 95% CI 0.28-0.35). For 120 vignettes (12.0%), at least one model choice was among the poor or contraindicated treatments. Results were not meaningfully different when gender or race of the vignette was permuted to examine risk for bias. By comparison, an un-augmented model identified the optimal treatment for 234 (23.0%, 95% CI 20.8-26.0%; McNemar's p < 0.001 versus augmented model) of the vignettes. A sample of community clinicians scoring the same vignettes identified the optimal choice for 23.1% (95% CI 15.7-30.5%) of vignettes, on average; McNemar's p < 0.001 versus augmented model. Large language models prompted with evidence-based guidelines represent a promising, scalable strategy for clinical decision support. In addition to prospective studies of efficacy, strategies to avoid clinician overreliance on such models, and address the possibility of bias, will be needed.
    Language English
    Publishing date 2024-03-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 639471-1
    ISSN 1740-634X ; 0893-133X
    ISSN (online) 1740-634X
    ISSN 0893-133X
    DOI 10.1038/s41386-024-01841-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Mycobacterium tuberculosis

    Maxson, Michelle E / Das, Lahari / Goldberg, Michael F / Porcelli, Steven A / Chan, John / Jacobs, William R

    Pathogens (Basel, Switzerland)

    2023  Volume 12, Issue 9

    Abstract: Metabolic dysregulation ... ...

    Abstract Metabolic dysregulation in
    Language English
    Publishing date 2023-08-30
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2695572-6
    ISSN 2076-0817
    ISSN 2076-0817
    DOI 10.3390/pathogens12091109
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Neuroradiologic manifestations of COVID-19

    Goldberg, Michael F. / Goldberg, Morton F.

    Emergency Radiology ; ISSN 1070-3004 1438-1435

    what the emergency radiologist needs to know

    2020  

    Keywords Radiology Nuclear Medicine and imaging ; Emergency Medicine ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    DOI 10.1007/s10140-020-01840-y
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: Neuroradiologic manifestations of COVID-19: what the emergency radiologist needs to know

    Goldberg, Michael F / Goldberg, Morton F

    Emerg Radiol

    Abstract: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is a global pandemic with a wide spectrum of clinical signs and symptoms. Neurologic manifestations are relatively common, with severe cases ... ...

    Abstract Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is a global pandemic with a wide spectrum of clinical signs and symptoms. Neurologic manifestations are relatively common, with severe cases often demonstrating striking findings on neuroimaging. Because the neuroradiologic findings may be the first evidence of COVID-19, the emergency radiologist has a critical role to play in not only the detection and management of the disease but also in the safety of other patients and hospital staff. Therefore, radiologists, especially those who specialize in emergency radiology, need to be aware of the neuroradiologic manifestations of COVID-19.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #724512
    Database COVID19

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  8. Article ; Online: The Effect of Lurasidone on Anxiety Symptoms in Patients With Bipolar Depression: A Post Hoc Analysis.

    Goldberg, Joseph F / Siu, Cynthia / Tocco, Michael / Pikalov, Andrei / Loebel, Antony

    The Journal of clinical psychiatry

    2023  Volume 84, Issue 4

    Abstract: Objective:: Methods:: Results:: Conclusions:: Trial Registration: ...

    Abstract Objective:
    Methods:
    Results:
    Conclusions:
    Trial Registration:
    MeSH term(s) Humans ; Lurasidone Hydrochloride/adverse effects ; Bipolar Disorder/complications ; Bipolar Disorder/drug therapy ; Bipolar Disorder/chemically induced ; Drug Therapy, Combination ; Valproic Acid/therapeutic use ; Anxiety/drug therapy
    Chemical Substances Lurasidone Hydrochloride (O0P4I5851I) ; Valproic Acid (614OI1Z5WI)
    Language English
    Publishing date 2023-06-07
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 716287-x
    ISSN 1555-2101 ; 0160-6689
    ISSN (online) 1555-2101
    ISSN 0160-6689
    DOI 10.4088/JCP.22m14732
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Reply.

    Goldberg, Michael F / Goldberg, Morton F / Cerejo, R / Tayal, A H

    AJNR. American journal of neuroradiology

    2020  Volume 41, Issue 8, Page(s) E64

    MeSH term(s) Betacoronavirus ; COVID-19 ; Cerebrovascular Disorders ; Coronavirus Infections ; Humans ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-07-09
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 603808-6
    ISSN 1936-959X ; 0195-6108
    ISSN (online) 1936-959X
    ISSN 0195-6108
    DOI 10.3174/ajnr.A6686
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Cerebrovascular Disease in COVID-19.

    Goldberg, Michael F / Goldberg, Morton F / Cerejo, R / Tayal, A H

    AJNR. American journal of neuroradiology

    2020  Volume 41, Issue 7, Page(s) 1170–1172

    Abstract: Coronavirus disease 19 (COVID-19) is a pandemic originating in Wuhan, China, in December 2019. Early reports suggest that there are neurologic manifestations of COVID-19, including acute cerebrovascular disease. We report a case of COVID-19 with acute ... ...

    Abstract Coronavirus disease 19 (COVID-19) is a pandemic originating in Wuhan, China, in December 2019. Early reports suggest that there are neurologic manifestations of COVID-19, including acute cerebrovascular disease. We report a case of COVID-19 with acute ischemic stroke. To our knowledge, this is the first reported case of COVID-19-related cerebral infarcts that includes brain imaging at multiple time points and CT angiography. There is a growing body of published evidence that complications of COVID-19 are not limited to the pulmonary system. Neuroradiologists should be aware of a wide range of neurologic manifestations, including cerebrovascular disease.
    MeSH term(s) Betacoronavirus ; Brain/diagnostic imaging ; Brain Ischemia/diagnostic imaging ; Brain Ischemia/etiology ; COVID-19 ; Coronavirus Infections/complications ; Humans ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral/complications ; SARS-CoV-2 ; Stroke/diagnostic imaging ; Stroke/etiology ; Tomography, X-Ray Computed
    Keywords covid19
    Language English
    Publishing date 2020-05-14
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 603808-6
    ISSN 1936-959X ; 0195-6108
    ISSN (online) 1936-959X
    ISSN 0195-6108
    DOI 10.3174/ajnr.A6588
    Database MEDical Literature Analysis and Retrieval System OnLINE

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