Neurology MRI

The MAGNETOM Viato.Mobile may facilitate improved access to MRI capabilities for patients with serious health conditions who lack geographic proximity to centers with advanced imaging.

For patients discharged from the hospital with confirmed COVID-19, median five-month follow-up MRI findings revealed a greater likelihood of regional brain volume reduction, parenchymal lung abnormalities and loss of corticomedullary differentiation in the kidney in comparison to people who have not had COVID-19.

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The artificial intelligence (AI)-enabled AIRAscore can reportedly provide quantitative brain volume data within five minutes of assessing brain MRI scans.

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In a recent video interview, Vivek Bansal, M.D., discussed a recent Radiology Partners publication that offers practical tips and best practice guidance on CT and MRI neuroimaging for stroke patients.

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Catch up on the top five most viewed content at Diagnostic Imaging in August 2023.

Catch up on the top AI-related news and research from the past month.

Catch up on the top radiology content of the past week.

The Echelon Synergy MRI system reportedly uses deep learning technology to accelerate image acquisition and enhance image quality.

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The most common brain MRI findings associated with COVID-19 included acute/subacute infarction in 22 percent of patients and cerebral microbleeds in 17 percent of patients.

The indications for Gadobutrol injection, a generic substitute for Gadavist, include neurovascular and cardiovascular assessments as well as breast malignancy detection with magnetic resonance imaging (MRI).

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Review the case study and test your knowledge to make the correct diagnosis.

Through automated processing of diffusion-weighted magnetic resonance imaging (MRI) scans, the Advanced Neuro Diagnostic Imaging (ANDI) software performs detailed analysis of white matter microstructure.

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Newly published research suggests the use of gadopiclenol at 0.05 mmol/kg is non-inferior to gadobutrol 0.1 mmol/kg for all qualitative visualization parameters on full-body magnetic resonance imaging (MRI).

An artificial intelligence model, trained on MRI and FLAIR imaging from over 900 patients with multiple sclerosis, demonstrated a 96 percent accuracy rate and 99 percent specificity rate for contrast-enhancing lesions in this patient population.

Superfluous pan scans have become standard for a vast majority of minor injury presentations in emergency room settings.

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Reportedly receiving the first Current Procedural Terminology (CPT) III code from the American Medical Association (AMA) for artificial intelligence (AI)-enabled brain magnetic resonance imaging (MRI) software, Icometrix says its adjunctive quantification software can be utilized for diagnosis and assessment of conditions ranging from Alzheimer’s disease and epilepsy to stroke and dementia.

Catch up on the top AI-related news and research from the past month.

Catch up on the top radiology content of the past week.