Borderline Disseminated (Intermediate) Cutaneous Leishmaniasis: A Case-Based Approach to Diagnosis and Clinical Management in Pediatric Population.

Background: Cutaneous leishmaniasis (CL) is a neglected tropical disease with diverse clinical manifestations, ranging from localized CL to severe forms such as diffuse CL and mucocutaneous leishmaniasis. Borderline disseminated CL (BDCL), an intermediate form, is characterized by multiple disseminated lesions and poses unique diagnostic and therapeutic challenges, especially in pediatric patients. This study explores pediatric BDCL to better understand its clinical presentation, diagnostic approaches and treatment outcomes.

Mycotic Sphenopalatine Sinusitis With Concurrent Compression of the Optic Nerves and Chiasm and Severe Visual Impairment in A Horse.

A 15-year-old Swiss Warmblood gelding was presented to the ophthalmology service of Zurich University due to severe visual impairment. Ophthalmic and neurologic examinations were performed, raising suspicion of post-retinal blindness. Standing contrast computed tomography (CT) of the head revealed a partially calcified, soft tissue attenuating mass in the sphenopalatine sinus with concurrent compression of the optic nerves and chiasm.

Optimizing patient understanding of spine MRI reports using AI: A prospective single center study.

Background: Patient comprehension of spine MRI reports remains a significant challenge, potentially affecting healthcare engagement and outcomes. Artificial Intelligence (AI) may offer a solution for interpreting complex medical terminology into layman's terms language.

Objective: To evaluate the effectiveness of AI-based interpretation of spine MRI reports in improving patient comprehension and satisfaction.

Spinal synovial cyst: A retrospective analysis of 204 cases.

Introduction: Several studies about spinal synovial cyst (SSC) have been conducted so far and yet many more things to be understood. The objective of this study is to further analyze SSC involving a larger number of cases.

Methods: This is a single center retrospective analysis of SSC over the period of 16 years .

AI and Neurology.

Background: Artificial Intelligence is influencing medicine on all levels. Neurology, one of the most complex and progressive medical disciplines, is no exception. No longer limited to neuroimaging, where data-driven approaches were initiated, machine and deep learning methodologies are taking neurologic diagnostics, prognostication, predictions, decision making and even therapy to very promising potentials.