Purpose: Artificial intelligence (AI) has accelerated novel discoveries across multiple disciplines including medicine. Clinical medicine suffers from a lack of AI-based applications, potentially due to lack of awareness of AI methodology. Future collaboration between computer scientists and clinicians is critical to maximize the benefits of transformative technology in this field for patients. To illustrate, we describe AI-based advances in the diagnosis and management of gliomas, the most common primary central nervous system (CNS) malignancy. Methods: Presented is a succinct description of foundational concepts of AI approaches and their relevance to clinical medicine, geared toward clinicians without computer science backgrounds. We also review novel AI approaches in the diagnosis and management of glioma. Results: Novel AI approaches in gliomas have been developed to predict the grading and genomics from imaging, automate the diagnosis from histopathology, and provide insight into prognosis. Conclusion: Novel AI approaches offer acceptable performance in gliomas. Further investigation is necessary to improve the methodology and determine the full clinical utility of these novel approaches.

Superior ophthalmic vein thrombosis (SOVT) is an extremely rare condition. Few studies have been published about clinical aspects of this condition. In this study, we have studied the symptoms, underlying etiologies, treatment, pathogenesis and complication of the SOVT and we tried to classify it based on the etiology, treatment, and prognosis. We reviewed the patients' data from a tertiary academic referral center. Each patient with SOVT was then reviewed for symptoms associated with SOVT, underlying etiology, treatment protocol, treatment response, complications, possible pathogens, and final outcome. Twenty-four cases of SOVT were included in this study. Overall, 13 cases were diagnosed as right-sided SOVT, out of which, eight had simultaneous right-sided cavernous sinus thrombosis (CST). Eighteen cases were diagnosed to have left-sided SOVT, out of which, 11 had simultaneous left-sided CST. The SOVT can be secondary to different mechanisms. The SOVT secondary to trauma, recent surgery and coagulopathy are mostly non-aggressive, and can be managed by conservative therapy and anticoagulation. The SOVT in patients with orbital cellulitis, history of active sinusitis or paranasal sinus surgery are aggressive presenting with acute orbital swelling, abscess and visual loss. This type of SOVT can be complicated by extension to the cavernous sinus and intracranial structures. These patients require urgent antibiotics therapy and sinus surgery. The most severe type of SOVT is caused by mucormycosis which may also extend intracranially resulting in stroke and is often life-threatening.

The skeleton is overall the third most common metastatic site after the lungs and liver. Accurate diagnosis of osseous metastasis is critical for initial staging, treatment planning, restaging, treatment monitoring and survival prediction. Currently, ^99mTc-methylene diphosphonate (^99mTc-MDP) whole-body scan is the cornerstone of imaging to detect osseous metastasis. Though ¹⁸F-sodium fluoride (¹⁸F-NaF) was one of the oldest medical tracers but was replaced by other tracers until recently, owing to its physical properties. Continued development of positron emission tomographic (PET) scanners have opened a new era for ¹⁸F-NaF and given its higher sensitivity, there have been increasing applications in imaging. In this review, we will discuss the history, technical aspects, radiobiology, and bio-distribution of this tracer. Finally, we compared the accuracy of ¹⁸F-NaF PET with other conventional imaging for detection of osseous metastasis.