Neuroimaging

Neuroradiology is a branch of medical imaging focused on spotting abnormalities of the central and peripheral nervous system, spine, head and neck. These highly trained doctors use CT, MRI, X-ray and other techniques to diagnose strokes, tumors, aneurysms and other neurological conditions.

Algorithm accurately predicts dementia risk using a single MRI scan
The tool also can be used to predict a person's brain age and risk for a myriad of other chronic conditions as well.
Mayo Clinic develops AI capable of substantially improving dementia diagnoses
With the software's help, readers are up to three times more accurate and interpretations are nearly twice as fast.
Tau tangles on PET scans may signal impending cognitive decline in asymptomatic individuals
New data highlight the significance of tau-positive imaging in the progression of Alzheimer’s disease.
Signs of Alzheimer's evident on imaging up to 15 years prior to symptom onset in Down syndrome population
By identifying these structural changes prior to the onset of symptomatic neurodegeneration, providers may be able to initiate preventive therapies sooner.
'Promising' new PET agent for brain metastases put on FDA's Fast Track
Clinical trial results thus far have been promising, representing a significant step forward for the hundreds of thousands of patients affected by brain metastases.

Radiologist testifies in 'hit and run' case against Gwyneth Paltrow

The radiologist's testimony is in regard to how the plaintiff, 76-year-old retired optometrist Terry Sanderson, sustained his injuries, which included broken ribs and head trauma resulting in a serious concussion.

Explainable stroke AI cleared for US sales

The FDA has OK’d a new artificial intelligence platform for quickly diagnosing stroke on unenhanced CT scans.

COVID long haulers have enlarged brain stems

In comparison to a cohort of individuals who were unaffected by either condition, the differences in brain stem volume were found to be significant, according to a paper published recently in Frontiers in Neuroscience.

Current multiple sclerosis diagnostic criteria are leaving children behind, new data show

A recent analysis published in Multiple Sclerosis and Related Disorders found that these criteria often exclude children who display suspicious findings on imaging.

New neural-redundancy metric accurately detects mild cognitive impairment

Redundant brain pathways can serve as pre-symptomatic indicators of mild cognitive impairment (MCI) in aging individuals, allowing care teams to design first-line neuropsychological exercises for slowing the possible approach of Alzheimer’s disease.

New scoring system predicts rupture risk for patients with arteriovenous malformations

The risk stratification system was put to the test in more than 3,000 cases and proved itself to be a beneficial tool in predicting future AVM rupture across multiple risk groups.

Deep learning model predicts Alzheimer's using routine MRI exams

When put to the test, the new model was able to predict Alzheimer’s risk with 90.2% accuracy.

MRI findings differ significantly in boys and girls who have sustained concussions

Findings from functional MRI brain scans following concussions in pediatric patients indicate that injury recovery times may differ between sexes.

Neuroimaging

Algorithm accurately predicts dementia risk using a single MRI scan

Mayo Clinic develops AI capable of substantially improving dementia diagnoses

Tau tangles on PET scans may signal impending cognitive decline in asymptomatic individuals

Signs of Alzheimer's evident on imaging up to 15 years prior to symptom onset in Down syndrome population

'Promising' new PET agent for brain metastases put on FDA's Fast Track