Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND AND OBJECTIVES: Dementia's rising prevalence places an immense burden on caregivers. Knowledge Graphs (KGs) and Large Language Model (LLM)-augmented KGs are emerging AI approaches that organize complex dementia care knowledge and enable personalized, context-aware support, yet this field remains nascent. We aimed to map and synthesize research on KGs and LLM-augmented KGs in dementia ca...
BACKGROUND: The relevance of covert cerebrovascular disease (CCD) in practice is uncertain, partly because estimation of risk in whole clinical populations is difficult. Studies have had success extracting CCD from clinical text using natural language processing (NLP), though they have been limited to specific CCD phenotypes. Here, we used NLP to measure multiple clinically-reported CCD phenotypes...
Electronic skin (e-skin), a stretchable, conformable, and multimodal sensing platform, is rapidly advancing in healthcare, robotics, and human-machine...
OBJECTIVE: Timely and accurate classification of postepilepsy surgery outcomes using Engel and International League Against Epilepsy (ILAE) scales is ...
OBJECTIVE: There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, m...
Patients with bipolar disorder (BD) exhibit deficits in emotional conflict control. These abnormalities may be related to alterations in distinct cogn...
Brain age prediction has gained significant attention due to its strong correlation with neurological and cognitive disorders. The discrepancy between...
PURPOSE OF REVIEW: Neuropathic pain remains challenging due to its heterogeneous mechanisms and variable treatment response. This narrative review eva...
Cervical spine fractures represent a potentially catastrophic consequence of blunt trauma. Early identification of unstable injuries is critical to pr...
BACKGROUND: Paraspinal muscle degeneration with fatty infiltration and atrophy is well-documented in symptomatic lumbar spinal stenosis (sLSS). Howeve...
Coordinated mammalian locomotion relies on spinal circuits where DMRT3 regulates strides and alternative gaits. However, DMRT3 does not explain differ...
PURPOSE: Studies of eye movements have evolved from clinical phenomenology to a probe of neural circuitry, cognition, and behavior offering a powerful...
PURPOSE: 18F-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET)/Computerized Tomography (CT) is an important imaging modality in oncology, bu...
Alzheimer's disease-cancer research (ADCR) has gained increasing attention due to paradoxical epidemiological associations and shared yet oppositely r...
Traditional radiomic studies build texture matrices using single-voxel increments. However, useful information may emerge when radiomic features are i...
BACKGROUND: Deficiencies in knowledge and skills related to the management of medical emergencies in dental settings can adversely affect the clinical...
BACKGROUND: Parkinson disease frequently manifests early vocal impairment, motivating the development of noninvasive and scalable digital screening to...
Drug-resistant epilepsy (DRE) affects millions of people worldwide and remains a major therapeutic challenge, largely due to the difficulty in precise...
In recent years, Electroencephalographic (EEG) analysis has gained prominence in stress research when combined with AI and Machine Learning (ML) model...
Alzheimer's disease (AD) is characterized by progressive disruption of large-scale neural networks, leading to abnormal brain oscillatory activity, ye...