Artificial intelligence (AI) is a major branch of computer science that is fruitfully used for
analyzing complex medical data and extracting meaningful relationships in datasets, for …

Glioma is the most common primary intraparenchymal tumor of the brain and the 5-year
survival rate of high-grade glioma is poor. Magnetic resonance imaging (MRI) is essential for …

Parkinson's disease (PD) is the second most common neurodegenerative disease bearing a
severe social and economic impact. So far, there is no known disease modifying therapy …

Background Machine learning (ML) has garnered increasing attention as a means to
quantitatively analyze the growing and complex medical data to improve individualized …

Advances in computational neuroimaging techniques have expanded the armamentarium of
imaging tools available for clinical applications in clinical neuroscience. Non-invasive, in …

Surgical complications pose significant challenges for surgeons, patients, and health care
systems as they may result in patient distress, suboptimal outcomes, and higher health care …

Deep brain stimulation (DBS) is a surgical treatment for advanced Parkinson's disease (PD)
that has undergone technological evolution that parallels an expansion in clinical …

Abstract Deep Brain Stimulation (DBS) is an increasingly common therapy for a large range
of neurological disorders, such as abnormal movement disorders. The effectiveness of DBS …

The purpose of this study was to evaluate the performance of machine learning algorithms to
predict trabeculectomy surgical outcomes. Preoperative systemic, demographic and ocular …

Glaucoma, the leading cause of irreversible blindness worldwide, comprises a group of
progressive optic neuropathies requiring early detection and lifelong treatment to preserve …