Latest AI and machine learning research in neurology for healthcare professionals.
OBJECTIVE: To develop and externally validate a spatial radiomics nomogram integrating infarct location, lesion radiomics, and clinical predictors for individualized prediction of 90-day unfavorable outcomes in patients with acute ischemic stroke (AIS). MATERIALS AND METHODS: This multicenter retrospective study included 3,502 patients in the training cohort and 421 in the external validation coho...
BACKGROUND: Post-stroke cognitive impairment (PSCI) is common and disabling, but identifying patients at risk early remains difficult. We developed and externally validated a retrospective machine-learning prognostic model using acute-phase predictors collected within 1 week after stroke onset to estimate PSCI risk assessed at 3-6 months after stroke. METHODS: Two inpatient rehabilitation cohorts ...
BACKGROUND: Spinal cord injury (SCI) is a severe complication after thoracoabdominal aortic repair (TAAR), substantially increasing postoperative mort...
BACKGROUND: Parkinson's disease (PD) is a rapidly growing global health concern, with aging populations driving increasing prevalence. While neuronal ...
Rapid and accurate identification of bacterial pathogens and their degree of pathogenicity is essential for guiding antimicrobial therapy. Current cul...
OBJECTIVE: Restoring intuitive and natural hand control remains a key challenge in neuroprosthetics. A promising approach is to decode continuous fing...
Neurological diseases (NDs) continue to be a leading cause of disability and mortality worldwide, largely due to delayed diagnosis and limited access ...
Spinal cord injury (SCI) is a severe neurological disorder with high disability rates and limited treatment options. Its global incidence continues to...
Long-term cannabis use can result in the development of cannabis use disorder (CUD) and dependence via the endocannabinoid system pathway. A brain net...
BACKGROUND: Cognitive impairment is a core yet treatment-resistant feature of schizophrenia (SZ), and reliable biomarkers predicting cognitive improve...
CONTEXT: The accurate identification of febrile infants who are at risk for invasive bacterial infections (IBIs), ie, bacteremia and meningitis, is es...
Background: Gliomas are primary malignant brain tumors. Among them, grade IV astrocytomas represent the most aggressive form with limited treatment op...
BACKGROUND: Medullary infarction is a severe subtype of ischemic stroke. Early neurological deterioration (END) is a common adverse event that can sig...
BACKGROUND: At least 50% of individuals who suffer sudden cardiac arrest (SCA) have warning symptoms before their SCA, but these are not sufficient to...
Accurately predicting transitions to anesthetic drugs overdosage is a critical challenge in general anesthesia as it requires the identification of EE...
AIM: Attentional and working-memory processes can be monitored noninvasively using electroencephalography (EEG), which provides physiological indices ...
Among various modifiable risk factors, dietary patterns (DPs), as a holistic lifestyle intervention, have become a focus of current research due to th...
BACKGROUND: Huntington disease (HD) is a rare genetic neurodegenerative disease that causes progressive motor, cognitive, and psychiatric symptoms ove...
Introduction: Emotional ambivalence - the coexistence of conflicting positive and negative feelings toward the same object, event, or person - has bee...