Latest AI and machine learning research in neurology for healthcare professionals.
After the introduction of the first robotic-assisted surgical procedures, the technology soon reached the world of endovascular specialists, giving rise to several publications about robotic-assisted endovascular therapy. Compared with conventional procedures, robotic-assisted procedures can be more accurate and reduce radiation exposure. The latest commercially available endovascular robotic syst...
Stress has become a dangerous health problem in our life, especially in student education journey. Accordingly, previous methods have been conducted to detect mental stress based on biological and biochemical effects. Moreover, hormones, physiological effects, and skin temperature have been extensively used for stress detection. However, based on the recent literature, biological, biochemical, and...
Mild cognitive impairment (MCI) is often considered the precursor of Alzheimer's disease. However, MCI is associated with substantially variable progr...
Alzheimer disease (AD) is a neurodegenerative disorder characterized pathologically by the presence of neurofibrillary tangles and amyloid beta (Aβ) p...
Dementia and other related diseases are becoming increasingly diagnosed and are placing a serious strain on the healthcare system. Robotic technology ...
Sexual disorders following retroperitoneal pelvic lymph node dissection (RPLND) for testis tumor can affect the quality of life of patients. The aim o...
Although many surgeries, including spinal procedures, have been much improved with robotics in recent years, the additional technology has created ass...
BACKGROUND: Trunk control ability is an important component of functional independence after the onset of stroke. Recently, it has been reported that ...
Intramedullary lesions can be challenging to diagnose, given the wide range of possible pathologies. Each lesion has unique clinical and imaging featu...
Advancements in neuroimaging and the availability of large-scale datasets enable the use of more sophisticated machine learning algorithms. In this ch...
Machine learning (ML) and artificial intelligence (AI) applications in the field of neuroimaging have been on the rise in recent years, and their clin...
This chapter describes technical considerations and current and future clinical applications of lesion detection using machine learning in the clinica...
Artificial Intelligence is gaining traction in medicine for its ease of use and advancements in technology. This study evaluates the current literatur...
BACKGROUND: In assessing the levels of clinical impairment in dementia, a summary index of neuropsychological batteries has been widely used in descri...
BACKGROUND: Makeup greatly impacts normal social lives but can also be a non-pharmacological form of therapy for dementia.
BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative condition driven by multifactorial etiology. Mild cognitive impairment (MCI) is a transiti...
Parkinson's disease (PD) is a neurodegenerative disorder. Hence, there is a tremendous demand for adapting vocal features to determine PD in an earlie...
OBJECTIVE: The application of robots in the field of pedicle screw placement has achieved great success. However, decompressive laminectomy, a step th...
OBJECTIVE: The use of robotics in spinal surgery has gained popularity because of its promising accuracy and safety. ROSA is a commonly used surgical ...
BACKGROUND: Gait rehabilitation using a footpad-type locomotion interface has been reported as effective in improving gait ability in chronic stroke p...