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  1. Article ; Online: Long-Term Health Outcomes of Traumatic Brain Injury in Veterans.

    Massaad, Elie / Kiapour, Ali

    JAMA network open

    2024  Volume 7, Issue 2, Page(s) e2354546

    MeSH term(s) Humans ; Veterans ; Brain Injuries, Traumatic/epidemiology ; Brain Injuries, Traumatic/therapy ; Outcome Assessment, Health Care
    Language English
    Publishing date 2024-02-05
    Publishing country United States
    Document type Journal Article
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2023.54546
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Application of Video-Based Deep Learning for Early Diagnosis of Neurological Disorders.

    Massaad, Elie / Shin, John H

    JAMA network open

    2022  Volume 5, Issue 7, Page(s) e2221343

    MeSH term(s) Deep Learning ; Early Diagnosis ; Humans ; Nervous System Diseases/diagnosis ; Neural Networks, Computer
    Language English
    Publishing date 2022-07-01
    Publishing country United States
    Document type Journal Article ; Comment
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2022.21343
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Editorial. Integrating frailty assessment tools into patient-specific alignment target planning in adult spinal deformity: minimizing risk and optimizing outcomes.

    Massaad, Elie / Kiapour, Ali / Shin, John H

    Journal of neurosurgery. Spine

    2023  Volume 39, Issue 5, Page(s) 643–645

    MeSH term(s) Adult ; Humans ; Frailty ; Retrospective Studies ; Spinal Fusion
    Language English
    Publishing date 2023-08-11
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 2158643-3
    ISSN 1547-5646 ; 1547-5654
    ISSN (online) 1547-5646
    ISSN 1547-5654
    DOI 10.3171/2023.6.SPINE23571
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uk I Zs.135 -Spine-: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: Anorectal Manifestations of Treatment-Refractory Monkeypox Requiring Surgical Intervention.

    Cherfan, Patrick / Massaad, Elie / Hui, Vanessa W

    The American surgeon

    2023  Volume 89, Issue 12, Page(s) 6370–6373

    Abstract: Anorectal manifestations of monkeypox are increasingly being recognized as a potentially serious complication. We present the case of an HIV-positive, tecovirimat-treated male presenting with monkeypox virus-associated severe proctitis with associated ... ...

    Abstract Anorectal manifestations of monkeypox are increasingly being recognized as a potentially serious complication. We present the case of an HIV-positive, tecovirimat-treated male presenting with monkeypox virus-associated severe proctitis with associated perianal pathology. Despite the use of antiviral agents and intravenous vaccinia immune globulin, the monkeypox-associated perianal lesions evolved into abscesses, requiring incision and drainage. This report highlights a multidisciplinary approach involving surgery for anorectal complications of monkeypox virus-associated proctitis and perianal lesions. Surgery may offer immediate relief and reduce the potential long-term morbidity associated with severe monkeypox virus-associated rectal and perianal manifestations refractory to available medical countermeasures.
    MeSH term(s) Humans ; Male ; Rectal Diseases/surgery ; Rectal Diseases/complications ; Anus Diseases/drug therapy ; Anus Diseases/surgery ; Mpox (monkeypox) ; Rectum/surgery ; Proctitis/drug therapy ; Proctitis/surgery ; Proctitis/complications
    Language English
    Publishing date 2023-05-15
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 202465-2
    ISSN 1555-9823 ; 0003-1348
    ISSN (online) 1555-9823
    ISSN 0003-1348
    DOI 10.1177/00031348231177931
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uk I Zs.106: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: Commentary: Sacral Pedicle Subtraction Osteotomy for Treatment of High-Grade Spondylolisthesis: A Technical Note and Review of the Literature.

    Williamson, Theresa / Massaad, Elie / Shin, John H

    Operative neurosurgery (Hagerstown, Md.)

    2022  Volume 23, Issue 2, Page(s) e93–e94

    MeSH term(s) Humans ; Osteotomy ; Sacrum/diagnostic imaging ; Sacrum/surgery ; Spinal Fusion ; Spondylolisthesis/diagnostic imaging ; Spondylolisthesis/surgery
    Language English
    Publishing date 2022-06-09
    Publishing country United States
    Document type Journal Article ; Review ; Comment
    ZDB-ID 2767575-0
    ISSN 2332-4260 ; 2332-4252
    ISSN (online) 2332-4260
    ISSN 2332-4252
    DOI 10.1227/ons.0000000000000310
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1424 -ON-: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  6. Article ; Online: Commentary: Sarcopenia as a Prognostic Factor for 90-Day and Overall Mortality in Patients Undergoing Spine Surgery for Metastatic Tumors: A Multi-Center Retrospective Cohort Study.

    Massaad, Elie / Shin, John H

    Neurosurgery

    2020  Volume 87, Issue 5, Page(s) E550–E551

    MeSH term(s) Humans ; Neoplasms ; Patients ; Prognosis ; Retrospective Studies ; Sarcopenia
    Language English
    Publishing date 2020-06-01
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 135446-2
    ISSN 1524-4040 ; 0148-396X
    ISSN (online) 1524-4040
    ISSN 0148-396X
    DOI 10.1093/neuros/nyaa259
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1424: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 539: Show issues

    Order via subito

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  7. Article ; Online: The Ongoing Debate of Arthroplasty or Fusion for Cervical Radiculopathy.

    Massaad, Elie / Kiapour, Ali / Shin, John H

    JAMA network open

    2021  Volume 4, Issue 8, Page(s) e2119577

    MeSH term(s) Arthroplasty ; Cervical Vertebrae/surgery ; Humans ; Longitudinal Studies ; Radiculopathy/surgery
    Language English
    Publishing date 2021-08-02
    Publishing country United States
    Document type Journal Article ; Comment
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2021.19577
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Order via subito

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    Inter-library loan at ZB MED

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  8. Article ; Online: The Prognostic Role of Magnetic Resonance Imaging Biomarkers in Mild Traumatic Injury.

    Massaad, Elie / Shin, John H / Gibbs, Wende N

    JAMA network open

    2021  Volume 4, Issue 3, Page(s) e211824

    MeSH term(s) Biomarkers ; Brain Concussion ; Brain Injuries ; Humans ; Magnetic Resonance Imaging ; Prognosis
    Chemical Substances Biomarkers
    Language English
    Publishing date 2021-03-01
    Publishing country United States
    Document type Journal Article ; Comment
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2021.1824
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Order via subito

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    Inter-library loan at ZB MED

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  9. Article: Social Media Data Analytics on Telehealth During the COVID-19 Pandemic.

    Massaad, Elie / Cherfan, Patrick

    Cureus

    2020  Volume 12, Issue 4, Page(s) e7838

    Abstract: Introduction: Physical distancing during the coronavirus Covid-19 pandemic has brought telehealth to the forefront to keep up with patient care amidst an international crisis that is exhausting healthcare resources. Understanding and managing health- ... ...

    Abstract Introduction: Physical distancing during the coronavirus Covid-19 pandemic has brought telehealth to the forefront to keep up with patient care amidst an international crisis that is exhausting healthcare resources. Understanding and managing health-related concerns resulting from physical distancing measures are of utmost importance.
    Objectives: To describe and analyze the volume, content, and geospatial distribution of tweets associated with telehealth during the Covid-19 pandemic.
    Methods: We inquired Twitter public data to access tweets related to telehealth from March 30, 2020 to April 6, 2020. We analyzed tweets using natural language processing (NLP) and unsupervised learning methods. Clustering analysis was performed to classify tweets. Geographic tweet distribution was correlated with Covid-19 confirmed cases in the United States. All analyses were carried on the Google Cloud computing service "Google Colab" using Python libraries (Python Software Foundation).
    Results: A total of 41,329 tweets containing the term "telehealth" were retrieved. The most common terms appearing alongside 'telehealth' were "covid", "health", "care", "services", "patients", and "pandemic". Mental health was the most common health-related topic that appeared in our search reflecting a high need for mental healthcare during the pandemic. Similarly, Medicare was the most common appearing health plan mirroring the accelerated access to telehealth and change in coverage policies. The geographic distribution of tweets related to telehealth and having a specific location within the United States (n=19,367) was significantly associated with the number of confirmed Covid-19 cases reported in each state (p<0.001).
    Conclusion: Social media activity is an accurate reflection of disease burden during the Covid-19 pandemic. Widespread adoption of telehealth-favoring policies is necessary and mostly needed to address mental health problems that may arise in areas of high infection and death rates.
    Keywords covid19
    Language English
    Publishing date 2020-04-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.7838
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Online: Topology-Aware Focal Loss for 3D Image Segmentation

    Demir, Andac / Massaad, Elie / Kiziltan, Bulent

    2023  

    Abstract: The efficacy of segmentation algorithms is frequently compromised by topological errors like overlapping regions, disrupted connections, and voids. To tackle this problem, we introduce a novel loss function, namely Topology-Aware Focal Loss (TAFL), that ... ...

    Abstract The efficacy of segmentation algorithms is frequently compromised by topological errors like overlapping regions, disrupted connections, and voids. To tackle this problem, we introduce a novel loss function, namely Topology-Aware Focal Loss (TAFL), that incorporates the conventional Focal Loss with a topological constraint term based on the Wasserstein distance between the ground truth and predicted segmentation masks' persistence diagrams. By enforcing identical topology as the ground truth, the topological constraint can effectively resolve topological errors, while Focal Loss tackles class imbalance. We begin by constructing persistence diagrams from filtered cubical complexes of the ground truth and predicted segmentation masks. We subsequently utilize the Sinkhorn-Knopp algorithm to determine the optimal transport plan between the two persistence diagrams. The resultant transport plan minimizes the cost of transporting mass from one distribution to the other and provides a mapping between the points in the two persistence diagrams. We then compute the Wasserstein distance based on this travel plan to measure the topological dissimilarity between the ground truth and predicted masks. We evaluate our approach by training a 3D U-Net with the MICCAI Brain Tumor Segmentation (BraTS) challenge validation dataset, which requires accurate segmentation of 3D MRI scans that integrate various modalities for the precise identification and tracking of malignant brain tumors. Then, we demonstrate that the quality of segmentation performance is enhanced by regularizing the focal loss through the addition of a topological constraint as a penalty term.

    Comment: CVPR 2023 Workshops
    Keywords Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning
    Subject code 006
    Publishing date 2023-04-24
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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