Guyon's canal syndrome resulting from an ulnar artery aneurysm: A case report.

Introduction And Importance: The ulnar's nerve compression at the Guyon's canal is not a frequent entity add to it that vascular lesions are rarely involved as a causative agent of this syndrome.

Case Presentation: We report a case of a young male patient admitted in our department for a Guyon's canal syndrome due to an aneurysm of the ulnar artery and underwent a surgical decompression. Post-operative course was uneventful and the patient was satisfied with the result.

Hydatid cyst of the sacrum: A case report.

Introduction And Importance: Bone hydatidosis is a rare parasitic infection caused by Echinococcus granulosus, with a frequency of 1-2 %, it has a high morbidity and mortality rate due to its long clinical latency and lack of symptomatic specificity. This often leads to delayed diagnosis and discovery, usually at the stage of complications.

Case Presentation: We present a case of sacral hydatidosis in a 71-year-old patient with no prior medical history.

Isolated anterior dislocation of the radial head (case report).

We report the case of an isolated post traumatic radial head dislocation in a 5 year old child. Clinical examination and the X ray results allow the diagnosis which can be unnoticed. The reduction by external maneuvers avoids the surgical treatment which remains the gold standard for chronic dislocation.

A systematic review and meta-analysis of the efficacy and safety of Mavacamten therapy in international cohort of 524 patients with hypertrophic cardiomyopathy.

Hypertrophic cardiomyopathy (HCM) is the most common heritable myocardial disorder worldwide. Current pharmacological treatment options are limited. Mavacamten, a first-in-class cardiac myosin inhibitor, targets the main underlying pathology of HCM.

Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review.

Background: Vision transformer-based methods are advancing the field of medical artificial intelligence and cancer imaging, including lung cancer applications. Recently, many researchers have developed vision transformer-based AI methods for lung cancer diagnosis and prognosis.

Objective: This scoping review aims to identify the recent developments on vision transformer-based AI methods for lung cancer imaging applications.

Artificial intelligence-based methods for fusion of electronic health records and imaging data.

Healthcare data are inherently multimodal, including electronic health records (EHR), medical images, and multi-omics data. Combining these multimodal data sources contributes to a better understanding of human health and provides optimal personalized healthcare. The most important question when using multimodal data is how to fuse them-a field of growing interest among researchers.

Customized and Automated Machine Learning-Based Models for Diabetes Type 2 Classification.

This study aims to develop models to accurately classify patients with type 2 diabetes using the Practice Fusion dataset. We use Random Forest (RF), Support Vector Classifier (SVC), AdaBoost classifier, an ensemble model, and automated machine learning (AutoML) model. We compare the performance of all models in a five-fold cross-validation scheme using four evaluation measures.

The role of generative adversarial networks in brain MRI: a scoping review.

The performance of artificial intelligence (AI) for brain MRI can improve if enough data are made available. Generative adversarial networks (GANs) showed a lot of potential to generate synthetic MRI data that can capture the distribution of real MRI. Besides, GANs are also popular for segmentation, noise removal, and super-resolution of brain MRI images.

Antioxidant Activity and Molecular Docking Study of Volatile Constituents from Different Aromatic Lamiaceous Plants Cultivated in Madinah Monawara, Saudi Arabia.

A comparative study of volatile constituents, antioxidant activity, and molecular docking was conducted between essential oils from L., L., and L.