Septic Portal Vein Thrombosis, Clinical Presentation, and Management.

Pylephlebitis, otherwise known as septic portal vein thrombosis, is an infective suppurative thrombosis of the portal vein and/or its intra-hepatic branches. It is a diagnosis that is frequently missed but easily treated with antibiotics. Therefore, it should be considered early on in any patient presenting with fever, abdominal pain, leukocytosis, and evidence of portal vein thrombosis on a CT scan.

Elevated Adrenocorticotropic Hormone, Hypercortisolism, and Marked Hypernatremia.

We present a case of refractory hypernatremia in a patient with elevated adrenocorticotropic hormone (ACTH) and hypercortisolism. Cortisol's effect in tissues results in various outcomes, from maintaining blood pressure to increasing serum glucose levels. In addition, cortisol, cortisone, and aldosterone activate mineralocorticoid receptors with the same affinity; therefore, the activation of mineralocorticoid receptors by elevated cortisol levels leads to increased sodium reabsorption, increased potassium secretion, and metabolic alkalosis.

Comparison of machine learning and deep learning for view identification from cardiac magnetic resonance images.

Background: Artificial intelligence is increasingly utilized to aid in the interpretation of cardiac magnetic resonance (CMR) studies. One of the first steps is the identification of the imaging plane depicted, which can be achieved by both deep learning (DL) and classical machine learning (ML) techniques without user input. We aimed to compare the accuracy of ML and DL for CMR view classification and to identify potential pitfalls during training and testing of the algorithms.

AI Based CMR Assessment of Biventricular Function: Clinical Significance of Intervendor Variability and Measurement Errors.

Objectives: The aim of this study was to determine whether left ventricular ejection fraction (LVEF) and right ventricular ejection fraction (RVEF) and left ventricular mass (LVM) measurements made using 3 fully automated deep learning (DL) algorithms are accurate and interchangeable and can be used to classify ventricular function and risk-stratify patients as accurately as an expert.

Background: Artificial intelligence is increasingly used to assess cardiac function and LVM from cardiac magnetic resonance images.

Methods: Two hundred patients were identified from a registry of individuals who underwent vasodilator stress cardiac magnetic resonance.