Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Accurate assessment of 90-day functional outcomes after anterior circulation large vessel occlusion (LVO) stroke remains challenging. Conventional models relying on a single data dimension have limited assessment power, suggesting that a multidimensional integration strategy could enhance evaluations. PURPOSE: To develop and validate an interpretable machine learning model that integra...
Pronoun resolution represents a fundamental language comprehension process that varies in cognitive complexity. Prior studies have identified behavioral and neural differences in pronoun processing, but existing models struggle to address background interference of neural activities, capture responses across multiple brain regions and neurophysiological feature domains, and account for subtle diff...
BACKGROUND: Chronic postsurgical pain is a significant medical concern, particularly in cancer patients. However, most previous studies overlooked the...
EEG recordings obtained before medication are regarded as valuable biological indicators for depression detection. Currently, depression diagnosis bas...
BACKGROUND: Epilepsy poses ongoing physical and mental threats and causes substantial economic burdens. Better seizure forecasting enables faster medi...
OBJECTIVES: Accurate mandibular canal (MC) identification on cone-beam computed tomography (CBCT) is vital to prevent inferior alveolar nerve injury d...
This study presents Latent Diffusion Autoencoder (LDAE), a novel encoder-decoder diffusion-based framework for efficient and meaningful unsupervised l...
BACKGROUND: Hypoperfusion-induced cerebral infarction remains a significant therapeutic challenge due to limited treatment options. Yiqi Fumai (YQFM),...
BACKGROUND: Predicting activities of daily living (ADL) in stroke patients optimizes discharge planning, which relies on accurate functional assessmen...
OBJECTIVES: To accurately identify the anatomical structure and trajectory of the mandibular canal, helping dentists avoid surgical risks and develop ...
BACKGROUND CONTEXT: The gold standard diagnostic test for Adolescent idiopathic scoliosis (AIS) involves manually measuring the spinal column deformit...
OBJECTIVE: Accurate preoperative lateralization of temporal lobe epilepsy (TLE) remains challenging, particularly in cases with subtle or MRI-negative...
Psychiatric disorders pose a critical challenge in modern healthcare due to their high prevalence, complex symptomatology, and reliance on subjective ...
BACKGROUND: Any treatment of multiple sclerosis should preserve mental function, considering how cognitive deterioration interferes with quality of li...
Alzheimer's disease (AD) -the most common form of dementia- begins with mild memory loss and gradually progresses, eventually resulting in a generaliz...
Deep learning algorithms optimize data by enhancing resolution and suppressing noise associated with biological knowledge. The root issue is that, for...
BACKGROUND AND OBJECTIVE: Dreams can reflect our profound needs and desires, intrinsically linked to emotional processes. In recent years, research on...
BACKGROUND: Response to transcranial magnetic stimulation (TMS) in major depressive disorder (MDD) is highly variable, underscoring the need for bioma...
The growing dependence on mobile phones for communication has raised concerns regarding the neurological impact of radio-frequency electromagnetic fie...
BACKGROUND: Multi-center imaging studies create large-scale data that are useful for identifying pathological patterns and robust training of deep lea...