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Journal of Neurology, Neurosurgery & Psychiatry, 2005 This is the second in a series of short reviews of internet-based radiological educational resources, and will focus on neuroradiology. Most of the sites cater for medical students and trainee or non-specialist radiologists, but may also be of interest to specialists, especially for use in teaching. Hyperlinks are available in the electronic version of
I Bone
+7 more sources
Neuroradiology of Cholesteatomas [PDF]
American Journal of Neuroradiology, 2010 The relevant aspects of cholesteatomas are reviewed with the emphasis on their diagnosis by using cross-sectional imaging. The indications and limitations of CT and MR imaging and the use of novel MR imaging techniques in the diagnosis of cholesteatomas are described.
Krisztina Baráth +4 more
openalex +5 more sources
Errors in neuroradiology [PDF]
La radiologia medica, 2015 Approximately 4 % of radiologic interpretation in daily practice contains errors and discrepancies that should occur in 2-20 % of reports. Fortunately, most of them are minor degree errors, or if serious, are found and corrected with sufficient promptness; obviously, diagnostic errors become critical when misinterpretation or misidentification should ...
Caranci, Ferdinando +8 more
openaire +8 more sources
Artificial intelligence in neuroradiology: a scoping review of some ethical challenges
Frontiers in Radiology, 2023 Artificial intelligence (AI) has great potential to increase accuracy and efficiency in many aspects of neuroradiology. It provides substantial opportunities for insights into brain pathophysiology, developing models to determine treatment decisions, and
Pegah Khosravi, M. Schweitzer
semanticscholar +1 more source
Diagnostics, 2021 Objective: To study the efficacy of middle meningeal artery (MMA) embolization for the treatment of chronic subdural hematoma (SDH) and characterize its post-embolization volumetric resolution.
Ambooj Tiwari +8 more
doaj +1 more source
Ethical Considerations and Fairness in the Use of Artificial Intelligence for Neuroradiology
American Journal of Neuroradiology, 2023 SUMMARY: In this review, concepts of algorithmic bias and fairness are defined qualitatively and mathematically. Illustrative examples are given of what can go wrong when unintended bias or unfairness in algorithmic development occurs.
C. G. Filippi +12 more
semanticscholar +1 more source
Smart Visualization of Medical Images as a Tool in the Function of Education in Neuroradiology
Diagnostics, 2022 The smart visualization of medical images (SVMI) model is based on multi-detector computed tomography (MDCT) data sets and can provide a clearer view of changes in the brain, such as tumors (expansive changes), bleeding, and ischemia on native imaging (i.
Aleksandar Simović +3 more
doaj +1 more source
Trends of Diversity in Neuroradiology Trainees in United States 2015–2022
American Journal of Neuroradiology, 2023 SUMMARY: Radiology has historically not been a very diverse field. Many steps have been taken in the past decade to increase diversity in the field and make it more inclusive.
P. Prajapati +5 more
semanticscholar +1 more source
Pesquisa Veterinária Brasileira, 2021 : The purpose of this study was to evaluate the effects of lumbar myelography on subarachnoid pressure, cardiorespiratory parameters and pressure-volume index in sheep. Eight sheep were evaluated.
Bruno W. Minto +7 more
doaj +1 more source