Artificial intelligence (AI) and 3D printing will become technologies that profoundly impact
humanity. 3D printing of patient-specific organ models is expected to replace animal …

Artificial intelligence (AI) is rapidly transforming health care, and its applications in epilepsy
have increased exponentially over the past decade. Integration of AI into epilepsy …

In modern healthcare, the precision of medical image segmentation holds immense
significance for diagnosis and treatment planning. Deep learning techniques, such as …

Low-field portable magnetic resonance imaging (MRI) scanners are more accessible, cost-
effective, sustainable with lower carbon emissions than superconducting high-field MRI …

Volumetric registration of brain MRI is routinely used in human neuroimaging, eg, to align
different MRI modalities, to measure change in longitudinal analysis, to map an individual to …

Early reemergence of consciousness predicts long-term functional recovery for patients with
severe brain injury. However, tools to reliably detect consciousness in the intensive care unit …

Portable, low-field magnetic resonance imaging (LF-MRI) of the brain may facilitate point-of-
care assessment of patients with Alzheimer's disease (AD) in settings where conventional …

Patients suffering from debilitating neurodegenerative diseases often lose the ability to
communicate, detrimentally affecting their quality of life. One solution to restore …

Measures of physical growth, such as weight and height have long been the predominant
outcomes for monitoring child health and evaluating interventional outcomes in public health …

Magnetic resonance (MR) images are often acquired as multi-slice volumes to reduce scan
time and motion artifacts while improving signal-to-noise ratio. These slices often are thicker …