This systematic review assesses current molecular targeted therapies for glioblastoma
multiforme (GBM), a challenging condition with limited treatment options. Using PRISMA …

Abstract Artificial Intelligence (AI) and Deep Learning have emerged as revolutionary tools
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …

Artificial intelligence (AI) has become the topic of interest in various fields of research in the
current century, especially in recent years, engulfing many aspects of our lives ranging from …

This study explored the application of machine learning in predicting post-treatment
outcomes for chronic neck pain patients undergoing a multimodal program featuring cervical …

Introduction and importance Accurate segmentation of meningiomas from contrast-
enhanced T1-weighted (CE T1-w) magnetic resonance imaging (MRI) is crucial for …

Background: The biomechanical analysis of spine and postural misalignments is important
for surgical and non-surgical treatment of spinal pain. We investigated the examiner …

Training all-optical neural networks in itself remains an unresolved problem, and the
challenges compound when the problem is turned into the hardware implementations. In …

Objective Global neurosurgery is a public health focus in neurosurgery that seeks to ensure
safe, timely, and affordable neurosurgical care to all individuals worldwide. Although …

The purpose of this narrative review was to comprehensively elaborate the various
components of artificial intelligence (AI), their applications in spine surgery, practical …

Background Pediatric surgeons often treat patients with complex anatomical considerations
due to congenital anomalies or distortion of normal structures by solid organ tumors. There …