Objective Accurate measurement of surgical outcomes is highly desirable to optimize
surgical decision-making. An important element of surgical decision making is identification …

Stereotactic radiosurgery (SRS) is an effective treatment for patients with multiple brain
metastases. Three decades of increasingly powerful scientific studies have shown that SRS …

Current practice of neurosurgery depends on clinical practice guidelines and evidence-
based research publications that derive results using statistical methods. However, statistical …

In recent years, there has been a significant surge in discussions surrounding artificial
intelligence (AI), along with a corresponding increase in its practical applications in various …

Brain metastases present a significant public health issue, affecting more than 100,000
patients per year in the US and result in significant morbidity. Brain metastases can occur in …

Stereotactic radiosurgery (SRS) and whole brain radiation therapy (WBRT) are effective
treatments for management of brain metastases. Prospective trials comparing the 2 …

OBJECTIVE In the era in which more patients with greater numbers of brain metastases
(BMs) are being treated with stereotactic radiosurgery (SRS) alone, it is critical to understand …

Background Machine learning (ML) is an application of artificial intelligence (AI) that gives
computer systems the ability to learn data, without being explicitly programmed. Currently …

Imaging plays a fundamental role in the managing childhood neurologic, neurosurgical and
neuro-oncological disease. Employing multi-parametric MRI techniques, such as …

In managing a patient with glioblastoma (GBM), a surgeon must carefully consider whether
sufficient tumour can be removed so that the patient can enjoy the benefits of …