The history of machine learning in neurosurgery spans three decades and continues to
develop at a rapid pace. The earliest applications of machine learning within neurosurgery …

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 …

Background Recent technological advances have led to the development and
implementation of machine learning (ML) in various disciplines, including neurosurgery. Our …

Background Machine learning (ML) is a branch of artificial intelligence that allows computers
to learn from large complex datasets without being explicitly programmed. Although ML is …

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

Artificial Intelligence (AI) is reviving and disrupting modern surgery and healthcare by
employing machines that can learn, understand, and predict–whether in robotic assisted …

Surgical treatment of neurologic disorders has always benefited from technologic
advancements in operative techniques and equipment, imaging, predictive analytics, and …

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

BACKGROUND Machine learning (ML) is a domain of artificial intelligence that allows
computer algorithms to learn from experience without being explicitly programmed …

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 …