Latest AI and machine learning research in neurology for healthcare professionals.
The measurement performance of the Short-Form Brief Pain Inventory (BPI-SF) across IASP-recognized pain mechanisms remains unclear. We evaluated the reliability and structural validity of BPI-SF across clinician-assigned predominant nociceptive, neuropathic, and nociplastic chronic pain groups, and secondarily examined whether BPI-SF item patterns could distinguish these groups. In this cross-sect...
OBJECTIVES: To compare the acquisition time, image quality, and diagnostic confidence of DL-accelerated DIR (DIR-DL) with conventional MRI in patients undergoing imaging for suspected optic neuropathy. MATERIALS AND METHODS: This prospective, study enrolled 75 consecutive patients (mean age, 37 ± 20 years; 47 female) with suspected optic neuropathy who were clinically referred for optic nerve MRI ...
BACKGROUND AND PURPOSE: To develop a two-stage framework that combines deep learning-based super-resolution with subsequent image processing to genera...
Deep learning has significantly advanced brain-computer interface (BCI) technology. However, most deep learning models operate as black boxes, limitin...
Brittle stars move with remarkable whole-body coordination despite lacking a central brain. With five identical arms radiating from a central disc, th...
BACKGROUND AND OBJECTIVES: In the absence of biomarkers, the true biological footprint of migraine remains incompletely understood. It could perhaps b...
BACKGROUND: Adolescent idiopathic scoliosis (AIS) affects 2-3% of adolescents. Current screening relies on X-rays, which limits large-scale applicatio...
BACKGROUND: Causal discovery methods provide a powerful tool for uncovering the causal relationships between lncRNAs and target genes in gene regulati...
BACKGROUND: Myasthenia gravis (MG) is a prototypical antibody-mediated autoimmune disease with variable treatment responses with a need for biomarkers...
BackgroundThe systemic, metabolic, lifestyle factors have established associations with Alzheimer's disease (AD) through epidemiologic and AD-specific...
PURPOSE: Vestibular schwannomas (VS) present a clinical challenge in management decision-making due to their difficult-to-access location, unpredictab...
PURPOSE: Health-related quality-of-life (HRQOL) assessment provides insight into patient's subjective experiences that complement traditional clinical...
Non-suicidal self-injury (NSSI) is highly prevalent in adolescents with major depressive disorder (MDD), elevating suicide risk and indicating poor pr...
OBJECTIVE: Swallowing dysfunction poses significant health risks for older adults. Early detection is crucial to prevent complications such as aspirat...
The quick and accurate diagnosis of Alzheimer's disease (AD) and Frontotemporal Dementia (FTD) is a significant and unresolved challenge in clinical n...
UNLABELLED: Mild cognitive impairment (MCI) is a heterogeneous condition, with up to 40% of patients progressing to dementia within three years of cli...
Treatment resistant schizophrenia (TRS) is a major challenge in psychiatry, and its management remains an unmet need. Given the relatively high preval...
Large language models (LLMs) are starting to be coupled with brain-computer interfaces (BCIs) for assistive communication, but the resulting systems d...
BACKGROUND: Pedicle screws are pivotal in spinal fixation procedures, providing stability and facilitating the correction of spinal deformities. Sever...