Vision-Transformer-Based Transfer Learning for Mammogram Classification.

Breast mass identification is a crucial procedure during mammogram-based early breast cancer diagnosis. However, it is difficult to determine whether a breast lump is benign or cancerous at early stages. Convolutional neural networks (CNNs) have been used to solve this problem and have provided useful advancements.

On the universality of medical device regulations: the case of Benin.

Background: Regulatory frameworks surrounding medical devices (MDs) and medical locations are of utter importance for safeguarding patients and users, and for granting a universal access to healthcare. Currently, as the main existing regulatory frameworks are drafted by high-income countries, they pretend to be general and applicable globally, but fail to understand particular contexts, specifically those in low-resource settings (LRSs), resulting, therefore, inapplicable. In particular, LRSs present a varied situation, with legal transplants of guidelines from their previous colonial regimes.

[Acute pancreatitis--is endoscopic papillotomy a reliable therapy?].

The diagnostic criteria of biliary pancreatitis are defined, and the clinical picture of the disease is contrasted with that of the heterogeneous group of acute, non-biliary pancreatitis. Based on data obtained with and without controls, endoscopic therapies for acute pancreatitis are recommended.