Developments in neuroradiological MRI analysis offer promise in enhancing objectivity and
consistency in dementia diagnosis through the use of quantitative volumetric reporting tools …

Over the past decade, machine learning (ML) and artificial intelligence (AI) have become
increasingly prevalent in the medical field. In the United States, the Food and Drug …

The blood-brain barrier (BBB) breakdown has been suggested as an early marker for
Alzheimer's disease (AD); yet the relationship between BBB breakdown and AD-specific …

Background Despite emerging evidence suggesting that visceral fat may play a major role in
obesity-induced neurodegeneration, little evidence exists on the association between …

Objective To investigate the agreement and reliability of estimating the volumes and
normative percentiles (N%) of segmented brain regions among NeuroQuant (NQ) …

Background and purpose To develop and validate a deep learning-based automatic
segmentation model for assessing intracranial volume (ICV) and to compare the accuracy …

Please see the Editorial Comment by Alvand Hassankhani discussing this article. Please
see the Author Video associated with this article. BACKGROUND. Isotropic 3D T1-weighted …

Exposure and damage caused by noise have been reported in many countries around the
world. However, few nationwide studies explored the association of residential …

Background/aims The number of patients suffering from cognitive decline and dementia
increases, and new possible treatments are being developed. Thus, the need for time …

Background Dementia can be caused by numerous different diseases that present variable
clinical courses and reveal multiple patterns of brain atrophy, making its accurate early …