Publications by authors named "S A Wassef"
Artificial intelligence (AI) systems play an increasingly important role in all parts of the imaging chain, from image creation to image interpretation to report generation. In order to responsibly manage radiology AI systems and make informed purchase decisions about them, radiologists must understand the underlying principles of AI. Our task force was formed by the Radiology Research Alliance (RRA) of the Association of University Radiologists to identify and summarize a curated list of current educational materials available for radiologists.
View Article and Find Full Text PDFBackground: Imaging biomarkers sensitive to Huntington's disease (HD) during the premanifest phase preceding motor diagnosis may accelerate identification and evaluation of potential therapies. For this purpose, quantitative MRI sensitive to tissue microstructure and metabolism may hold great potential. We investigated the potential value of T1ρ relaxation to detect pathological changes in premanifest HD (preHD) relative to other quantitative relaxation parameters.
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- Posterior reversible encephalopathy syndrome (PRES) results from inadequate cerebral autoregulation leading to hypertension, mainly affecting the occipital lobes but can also impact the brainstem and cerebellum.
- Treatment typically focuses on controlling blood pressure, but severe cases may require more aggressive interventions, especially if neurological status deteriorates.
- In certain instances of PRES with severe brainstem compression, emergency procedures like posterior fossa decompression may be necessary, potentially being safer than just using ventriculostomy.
Surgical Process Modelling (SPM) was introduced to improve understanding the different parameters that influence the performance of a Surgical Process (SP). Data acquired from SPM methodology is enormous and complex. Several analysis methods based on comparison or classification of Surgical Process Models (SPMs) have previously been proposed.
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