Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND AND PURPOSE: Medical chart abstraction plays a critical role in clinical research and qua...
OBJECTIVES: To evaluate whether the deep learning model IGENet-TS, a time-domain convolutional neura...
OBJECTIVE: To develop and evaluate machine learning-based models for predicting fall risk within 6 m...
Traumatic brain injury (TBI) is a major cause of mortality and persistent neurological disability an...
As dementia prevalence rises globally, health sciences education must evolve to prepare future profe...
Seizure prediction is critically important, as it can help prevent serious injuries, improve quality...
Precision psychiatry seeks to improve individual-level prediction, treatment selection, monitoring, ...
Wearable systems for real-time and long-term musculoskeletal monitoring are increasingly required as...
Peripheral nerve injuries (PNIs) severely impair motor and sensory function, diminishing patient ind...
Alzheimer's disease is a neurodegenerative disease that affects millions of people worldwide. With t...
Although artificial intelligence (AI) has shown promising performance in several medical tasks, accu...
BACKGROUND AND AIMS: Artificial intelligence (AI) is increasingly being integrated into neurosurgica...
STUDY DESIGN: Multicenter prospective cohort study; secondary analysis. OBJECTIVE: To evaluate predi...
Magnetic resonance neuroimaging is undergoing a major paradigm shift from traditional qualitative an...
BACKGROUND: Diagnosing transient ischemic attacks (TIAs) remains challenging, particularly in primar...
Electroencephalography (EEG) is widely used in brain-computer interfaces (BCIs), but its microvolt-l...
Ischemic stroke and subsequent reperfusion injury are major causes of mortality and long-term neurol...
BACKGROUND: Sleep architecture and circadian rhythms are frequently disrupted in Parkinson's disease...
BACKGROUND: This study was aimed to compare the effects of tDCS synchronized with robotic training(R...
Accurate neurological outcome assessment after cardiac arrest is critical for clinical diagnosis and...
To address the issues of insufficient objectivity and difficulty in locating muscle dysfunction in c...