LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 302

Search options

  1. Book: Handbook of skull base surgery

    Di Ieva, Antonio / Lee, John M. / Cusimano, Michael D.

    2016  

    Language English
    Size XXVI, 978 S. : Ill., graph. Darst., 15.2 cm x 22.9 cm
    Publisher Thieme
    Publishing place New York u.a.
    Publishing country Germany
    Document type Book
    HBZ-ID HT018929362
    ISBN 978-1-62623-025-5 ; 978-1-62623-026-2 ; 1-62623-025-0 ; 1-62623-026-9
    Database Catalogue ZB MED Medicine, Health

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2016 A 777 on loan 0 Vormerkungen

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  2. Article ; Online: [No title information]

    Lin, Yuqi / Karthikeyan, Vishwathsen / Cusimano, Michael D

    CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne

    2023  Volume 195, Issue 18, Page(s) E658–E661

    Title translation Traumatismes craniocérébraux et médullaires chez une piétonne heurtée par une trottinette électrique.
    MeSH term(s) Humans ; Pedestrians ; Spinal Cord Injuries
    Language French
    Publishing date 2023-05-06
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 215506-0
    ISSN 1488-2329 ; 0008-4409 ; 0820-3946
    ISSN (online) 1488-2329
    ISSN 0008-4409 ; 0820-3946
    DOI 10.1503/cmaj.220423-f
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Ua VI Zs.136: 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)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  3. Article ; Online: Traumatic brain and spinal injuries in a pedestrian struck by an electric scooter.

    Lin, Yuqi / Karthikeyan, Vishwathsen / Cusimano, Michael D

    CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne

    2023  Volume 195, Issue 7, Page(s) E271–E273

    MeSH term(s) Humans ; Pedestrians ; Motor Vehicles ; Accidents, Traffic ; Brain ; Spinal Injuries ; Retrospective Studies ; Head Protective Devices ; Wounds and Injuries ; Emergency Service, Hospital
    Language English
    Publishing date 2023-02-21
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 215506-0
    ISSN 1488-2329 ; 0008-4409 ; 0820-3946
    ISSN (online) 1488-2329
    ISSN 0008-4409 ; 0820-3946
    DOI 10.1503/cmaj.220423
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Ua VI Zs.136: 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)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  4. Article ; Conference proceedings: What’s Wrong with Mentorship in Skull Base Surgery and What Needs to Change

    Skulsampaopol, Janissardhar / Shitsama, Sylvia / Cusimano, Michael D.

    Journal of Neurological Surgery Part B: Skull Base

    2024  Volume 85, Issue S 01

    Event/congress 33rd Annual Meeting North American Skull Base Society, Atlanta Marriott Marquis Atlanta, Georgia, United States, 2024-02-16
    Language English
    Publishing date 2024-02-01
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article ; Conference proceedings
    ZDB-ID 2654269-9
    ISSN 2193-634X ; 2193-6331
    ISSN (online) 2193-634X
    ISSN 2193-6331
    DOI 10.1055/s-0044-1780101
    Database Thieme publisher's database

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 3425: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  5. Article: The Fundamental Need for Sleep in Neurocritical Care Units: Time for a Paradigm Shift.

    Kishore, Kislay / Cusimano, Michael D

    Frontiers in neurology

    2021  Volume 12, Page(s) 637250

    Abstract: Intensive neurological assessments in neurocritical care settings for unduly prolonged period result in profound sleep deprivation in those patients that confounds the true neurological status of these patients, and the mounting apprehension in providers ...

    Abstract Intensive neurological assessments in neurocritical care settings for unduly prolonged period result in profound sleep deprivation in those patients that confounds the true neurological status of these patients, and the mounting apprehension in providers can beget a vicious cycle of even more intensive neurological assessments resulting in further sleep deprivation from being constantly woken up to be "assessed." This iatrogenic state drives these patients into deep sleep stages that impact spontaneous breathing trials, weaken immunity, and lead to unwarranted investigations and interventions. There is dwindling value of prolonged frequent neurochecks beyond the initial 24-48 h of an intracranial event. We insist that sleep must be considered on at least an equal par to other functions that are routinely assessed. We reason that therapeutic sleep must be allowed to these patients in suitable amounts especially beyond the first 36-48 h to achieve ideal and swift recovery. This merits a paradigm shift.
    Language English
    Publishing date 2021-06-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564214-5
    ISSN 1664-2295
    ISSN 1664-2295
    DOI 10.3389/fneur.2021.637250
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  6. Article ; Online: Letter to the Editor. Age at death: a neglected outcome measure in oncology.

    Cusimano, Michael D / Muller, Paul J

    Journal of neurosurgery

    2021  , Page(s) 1

    Language English
    Publishing date 2021-06-25
    Publishing country United States
    Document type Journal Article ; Letter
    ZDB-ID 3089-2
    ISSN 1933-0693 ; 0022-3085
    ISSN (online) 1933-0693
    ISSN 0022-3085
    DOI 10.3171/2021.3.JNS21553
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Uk I Zs.135: 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)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  7. Article: Impact of Automated Prognostication on Traumatic Brain Injury Care: A Focus Group Study.

    Hibi, Atsuhiro / Cusimano, Michael D / Bilbily, Alexander / Krishnan, Rahul G / Tyrrell, Pascal N

    The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques

    2024  , Page(s) 1–9

    Abstract: Background: Prognosticating outcomes for traumatic brain injury (TBI) patients is challenging due to the required specialized skills and variability among clinicians. Recent attempts to standardize TBI prognosis have leveraged machine learning (ML) ... ...

    Abstract Background: Prognosticating outcomes for traumatic brain injury (TBI) patients is challenging due to the required specialized skills and variability among clinicians. Recent attempts to standardize TBI prognosis have leveraged machine learning (ML) methodologies. This study evaluates the necessity and influence of ML-assisted TBI prognostication through healthcare professionals' perspectives via focus group discussions.
    Methods: Two virtual focus groups included ten key TBI care stakeholders (one neurosurgeon, two emergency clinicians, one internist, two radiologists, one registered nurse, two researchers in ML and healthcare and one patient representative). They answered six open-ended questions about their perceptions and potential ML use in TBI prognostication. Transcribed focus group discussions were thematically analyzed using qualitative data analysis software.
    Results: The study captured diverse perceptions and interests in TBI prognostication across clinical specialties. Notably, certain clinicians who currently do not prognosticate expressed an interest in doing so independently provided they had access to ML support. Concerns included ML's accuracy and the need for proficient ML researchers in clinical settings. The consensus suggested using ML as a secondary consultation tool and promoting collaboration with internal or external research resources. Participants believed ML prognostication could enhance disposition planning and standardize care regardless of clinician expertise or injury severity. There was no evidence of perceived bias or interference during the discussions.
    Conclusion: Our findings revealed an overall positive attitude toward ML-based prognostication. Despite raising multiple concerns, the focus group discussions were particularly valuable in underscoring the potential of ML in democratizing and standardizing TBI prognosis practices.
    Language English
    Publishing date 2024-03-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 197622-9
    ISSN 0317-1671
    ISSN 0317-1671
    DOI 10.1017/cjn.2024.24
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 1203: 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)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  8. Article ; Online: Development of a Multimodal Machine Learning-Based Prognostication Model for Traumatic Brain Injury Using Clinical Data and Computed Tomography Scans: A CENTER-TBI and CINTER-TBI Study.

    Hibi, Atsuhiro / Cusimano, Michael D / Bilbily, Alexander / Krishnan, Rahul G / Tyrrell, Pascal N

    Journal of neurotrauma

    2024  

    Abstract: Computed tomography (CT) is an important imaging modality for guiding prognostication in patients with traumatic brain injury (TBI). However, because of the specialized expertise necessary, timely and dependable TBI prognostication based on CT imaging ... ...

    Abstract Computed tomography (CT) is an important imaging modality for guiding prognostication in patients with traumatic brain injury (TBI). However, because of the specialized expertise necessary, timely and dependable TBI prognostication based on CT imaging remains challenging. This study aimed to enhance the efficiency and reliability of TBI prognostication by employing machine learning (ML) techniques on CT images. A retrospective analysis was conducted on the Collaborative European NeuroTrauma Effectiveness Research in TBI (CENTER-TBI) data set (
    Language English
    Publishing date 2024-02-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 645092-1
    ISSN 1557-9042 ; 0897-7151
    ISSN (online) 1557-9042
    ISSN 0897-7151
    DOI 10.1089/neu.2023.0446
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 2016: 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)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  9. Article ; Online: Predicting Severity of Head Collision Events in Elite Soccer Using Preinjury Data: A Machine Learning Approach.

    Tarzi, Gabriel / Tarzi, Christopher / Saha, Ashirbani / Cusimano, Michael D

    Clinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine

    2022  Volume 33, Issue 2, Page(s) 165–171

    Abstract: Objective: To develop machine learning (ML) models that predict severity of head collision events (HCEs) based on preinjury variables and to investigate which variables are important to predicting severity.: Design: Data on HCEs were collected with ... ...

    Abstract Objective: To develop machine learning (ML) models that predict severity of head collision events (HCEs) based on preinjury variables and to investigate which variables are important to predicting severity.
    Design: Data on HCEs were collected with respect to severity and 23 preinjury variables to create 2 datasets, a male dataset using men's tournaments and mixed dataset using men's and women's tournaments, to perform ML analysis. Machine learning analysis used a random forest classifier based on preinjury variables to predict HCE severity.
    Setting: Four elite international soccer tournaments.
    Participants: Elite athletes participating in analyzed tournaments.
    Independent variables: The 23 preinjury variables collected for each HCE.
    Main outcome measures: Predictive ability of the ML models and association of important variables.
    Results: The ML models had an average area under the receiver operating characteristic curve for predicting HCE severity of 0.73 and 0.70 for the male and mixed datasets, respectively. The most important variables for prediction were the mechanism of injury and the event before injury. In the male dataset, the mechanisms "head-to-head" and "knee-to-head" were together significantly associated ( P = 0.0244) with severity; they were not significant in the mixed dataset ( P = 0.1113). In both datasets, the events "corner kicks" and "throw-ins" were together significantly associated with severity (male, P = 0.0001; mixed, P = 0.0004).
    Conclusions: ML models accurately predicted the severity of HCE. The mechanism and event preceding injury were most important for predicting severity of HCEs. These findings support the use of ML to inform preventative measures that will mitigate the impact of these preinjury factors on player health.
    MeSH term(s) Humans ; Male ; Female ; Soccer/injuries ; Machine Learning ; Athletes ; Random Forest
    Chemical Substances HCE (4479-32-7)
    Language English
    Publishing date 2022-11-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1062530-6
    ISSN 1536-3724 ; 1050-642X
    ISSN (online) 1536-3724
    ISSN 1050-642X
    DOI 10.1097/JSM.0000000000001087
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 3120: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  10. Article ; Online: Entertainment: Bond villain fails neuroanatomy.

    Cusimano, Michael D

    Nature

    2015  Volume 528, Issue 7583, Page(s) 479

    MeSH term(s) Facial Recognition ; Motion Pictures ; Neuroanatomy ; Temporal Lobe/anatomy & histology ; Temporal Lobe/physiology
    Language English
    Publishing date 2015-12-24
    Publishing country England
    Document type Letter
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/528479e
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 26: 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.MG 9: Show issues
    Zs.MO 244: Show issues

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

To top