Latest AI and machine learning research in neurology for healthcare professionals.
During the early six months after the onset of a stroke, patients usually remain disabled with limbs...
Brain tissue deformation during surgery significantly reduces the accuracy of image-guided neurosurg...
BACKGROUND: The study aims to evaluate the performance of three advanced machine learning algorithms...
The novel robot-assisted (RA) technique has been utilized increasingly to improve the accuracy of ce...
This study aims to predict head trauma outcome for Neurosurgical patients in children, adults, and e...
OBJECTIVE: Electronic medical records allow for retrospective clinical research with large patient c...
Commercial software based on artificial intelligence (AI) is entering clinical practice in neuroradi...
This study examined the modelling and optimisation of the electrocoagulation-flocculation (ECF) reco...
INTRODUCTION: While the performance of a thyroidectomy is generally associated with a low risk of in...
The clock drawing test is a simple and inexpensive method to screen for cognitive frailties, includi...
Seizure detection using machine learning is a critical problem for the timely intervention and manag...
Perception of social stimuli (faces and bodies) relies on "holistic" (i.e., global) mechanisms, as s...
Cognitive functions such as learning in mammalian brains have been attributed to the presence of neu...
BACKGROUND: Medically intractable Parkinson's disease (PD) tremor is a common difficult clinical sit...
Deep learning methods have become an important tool for automatic sleep staging in recent years. How...
Robotic assistance has improved electrode implantation precision in stereoelectroencephalography (SE...
Robot-assisted radical prostatectomy (RARP) in men with body mass index (BMI) ≥ 35 kg/m is considere...
Radiographic examination is essential for diagnosing spinal disorders, and the measurement of spino-...
Conventional processing of sensory input often relies on uniform sampling leading to redundant infor...
Animals rely on different decision strategies when faced with ambiguous or uncertain cues. Depending...
OBJECTIVES: The precise segmentation of atrophic structures remains challenging in neurodegenerative...