Application of Artificial Intelligence in Cardio-Oncology Imaging for Cancer Therapy-Related Cardiovascular Toxicity: A Systematic Review.

Background: Artificial intelligence (AI) is a revolutionary upcoming tool yet to be fully integrated into several healthcare sectors, including medical imaging. AI can transform how medical imaging is conducted and interpreted, especially in cardio-oncology.

Objective: This study aims to systematically review the available literature on the use of AI in cardio-oncology imaging to predict cardiotoxicity and describe the possible improvement of different imaging modalities that can be achieved if AI is successfully deployed to routine practice.

Comparison of Four Scoring Systems for Patients With Nonvariceal Upper Gastrointestinal Bleeding.

Introduction Upper gastrointestinal bleeding (UGIB) is a common medical emergency that causes significant deaths and morbidity. Effective risk classification is crucial for clinical decision-making and resource allocation. Several risk assessments, including the Glasgow-Blatchford score (GBS), AIMS65, National Early Warning Score (NEWS), and National Early Warning Score + Lactate (NEWS+L), are widely used, but each has unique strengths and disadvantages.

Femorocele: A rare clinical entity - A case report.

Introduction And Importance: A femoral hernia is a protrusion of the peritoneum through a defect in the femoral ring into the femoral canal. A rare form of a femoral hernia is a femorocele, which requires a highly skilled physician for accurate diagnosis and management. Clinical examination is the gold standard for diagnosis, with a CT used to confirm clinical suspicion.