A Rare Presentation of Intracerebellar Schwannoma: A Case Report.

Intracerebellar schwannoma is an extremely rare disease entity with only 21 case reports described in the literature. A 68-year-old male presented with chronic headaches, dizziness, gait imbalance, and incoordination. Previous MRI had revealed a cystic lesion in the right cerebellum; however, patient was lost to follow-up.

Generating New Musical Preferences From Multilevel Mapping of Predictions to Reward.

Much of what we know and love about music hinges on our ability to make successful predictions, which appears to be an intrinsically rewarding process. Yet the exact process by which learned predictions become pleasurable is unclear. Here we created novel melodies in an alternative scale different from any established musical culture to show how musical preference is generated de novo.

Non-Hodgkins lymphoma of the nasal cavity: A case report.

We present a rare case of an 81-year-old woman presenting with acute left nasal blockage caused by a large nasal mass of unknown origin. The mass was subsequently diagnosed as diffuse large B-cell non-Hodgkin lymphoma (NHL). Nasal/paranasal space involvement in NHL is uncommon, representing only 0.

Craniocerebral gunshot injury bullet migration to the cardiac right ventricle.

Background: Missile embolism is the process of slow velocity projectiles penetrating into vascular spaces followed by arterial, venous, or paradoxical embolism of the fragments. This is a rare complication in craniocerebral gunshot injuries (CGI), with only five other cases previously published demonstrating pulmonary or arterial emboli from these injuries. There is a high rate of mortality from these injuries.

Artificial Intelligence and Deep Learning in Neuroradiology: Exploring the New Frontier.

There have been many recently published studies exploring machine learning (ML) and deep learning applications within neuroradiology. The improvement in performance of these techniques has resulted in an ever-increasing number of commercially available tools for the neuroradiologist. In this narrative review, recent publications exploring ML in neuroradiology are assessed with a focus on several key clinical domains.