AI Medical Compendium Journal:
Neurosurgical review

Showing 31 to 40 of 68 articles

Development of predictive model for the neurological deterioration among mild traumatic brain injury patients using machine learning algorithms.

Neurosurgical review
BACKGROUND: Mild traumatic brain injury (mTBI) comprises a majority of traumatic brain injury (TBI) cases. While some mTBI would suffer neurological deterioration (ND) and therefore have poorer prognosis. This study was designed to develop the predic...

Advancing aneurysm management: the potential of AI and machine learning in enhancing safety and predictive accuracy.

Neurosurgical review
Cerebral aneurysm rupture, the predominant cause of non-traumatic subarachnoid hemorrhage, underscores the need for effective treatment and early detection methods. A study in Neurosurgical Review compared microsurgical clipping to endovascular thera...

Revolutionizing Aneurysm detection: The role of artificial intelligence in reducing rupture rates.

Neurosurgical review
Cerebral aneurysms, affecting 2-5% of the global population, are often asymptomatic and commonly located within the Circle of Willis. A recent study in Neurosurgical Review highlights a significant reduction in the annual rupture rates of unruptured ...