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Results Found: 3
  • NYU Dataset

    Incidental breast findings on abdominal MRI: NYU Langone Health EHR

    Description

    This dataset was compiled as part of a project exploring the clinical significance of incidental breast lesions identified on abdominal MRI exams. The dataset includes the medical reference numbers and gender of patients who received abdominal MRI exams at NYU Langone Health between 2012 and 2016.

    Subject
    Anatomy
    Cancer
    Electronic Health Records
    Access Rights
    Fee Required
    Application Required
    NYU Langone Health Only
    Local Expert
    Andrew Rosenkrantz
  • NYU Dataset

    Association of radiologist recommendations on medical spending associated with incidental imaging findings: NYU Langone Health EHR

    Description

    This dataset was compiled as part of a retrospective assessment of the impact of radiologist recommendation on medical spending associated with incidental imaging findings. The dataset includes the name, medical reference number, age, gender, race, ethnicity, payer, date, and accession of the initial relevant imaging examination, and the complete report of the relevant examination for patients that...

    Subject
    Electronic Health Records
    Health Care System
    Access Rights
    Fee Required
    Application Required
    NYU Langone Health Only
    Local Expert
    Andrew Rosenkrantz
  • NYU Dataset

    Methods in Infant/Toddler Neuroimaging Study

    Alternate Title(s)
    MINI
    Authors
    Cassandra L. Hendrix
    Moriah E. Thomason
    Description

    The Methods in Infant/Toddler Neuroimaging (MINI) study surveyed investigators at infant and toddler research laboratories across the globe to collect information on preferred practices for MRI acquisition, scan success rates, visit preparation, scanning protocols, family accommodations, study design, and addressing incidental findings. The survey was distributed in February 2021 through the Fetal,...

    Subject
    Neuroscience
    Timeframe
    2021
    Access Rights
    Free to All