Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

Glioma represents a dominant primary intracranial malignancy in the central nervous
system. Artificial intelligence that mainly includes machine learning, and deep learning …

Efforts to apply artificial intelligence (AI) and machine learning in the medical field and
specifically in neurosurgery are actively underway. 1-7 Currently, imaging-based diagnosis …

Neurosurgeons receive extensive and lengthy training to equip themselves with various
technical skills, and neurosurgery require a great deal of pre-, intra-and postoperative …

Simple Summary Artificial intelligence (AI) is the branch of computer science that enables
machines to learn, reason, and problem solve. In recent decades, AI has been developed …

The vital physiological role of the pituitary gland, alongside its proximity to critical
neurovascular structures, means that pituitary adenomas can cause significant morbidity or …

Artificial intelligence (AI) is rapidly integrating into diagnostic methods across many
branches of medicine. Significant progress has been made in tumor assessment using AI …

Purpose Social determinants of health (SDoH)—socioeconomic and environmental factors—
impact outcomes. The Area Deprivation Index (ADI), a composite of seventeen SDoH …

Spinal cord tumors constitute a diverse group of rare neoplasms associated with significant
mortality and morbidity that pose unique clinical and surgical challenges. Diagnostic …

Neurosurgeons receive extensive technical training, which equips them with the knowledge
and skills to specialise in various fields and manage the massive amounts of information …