Predicting mortality in hospitalized influenza patients: integration of deep learning-based chest X-ray severity score (FluDeep-XR) and clinical variables.

Objectives: To pioneer the first artificial intelligence system integrating radiological and objective clinical data, simulating the clinical reasoning process, for the early prediction of high-risk influenza patients.

Materials And Methods: Our system was developed using a cohort from National Taiwan University Hospital in Taiwan, with external validation data from ASST Grande Ospedale Metropolitano Niguarda in Italy. Convolutional neural networks pretrained on ImageNet were regressively trained using a 5-point scale to develop the influenza chest X-ray (CXR) severity scoring model, FluDeep-XR.

Neurological hypertensive emergencies: Correlation of blood pressure values with in-hospital outcomes in ischemic stroke.

Background: Few certainties exist regarding optimal management of Blood Pressure (BP) in the very first hours after an ischemic stroke and many questions remain still unanswered. Our work aimed to evaluate the role of BP and its trend as possible determinants of in-hospital mortality (primary outcome), discharge disabilities and hospitalization length (secondary outcomes) in ischemic stroke patients presented with Hypertensive Emergencies (HE).

Methods: We retrospectively evaluated patients presented to Niguarda Hospital, Emergency Department (ED), from 2015 to 2017 with a neurological ischemic HE.

Antonio Scarpa (1752-1832): His Contribution to the History of Surgery.

Background: Antonio Scarpa (1752-1832) is generally remembered for his discoveries in the field of anatomy, but he also provided some important contributions to the history of surgery.

Methods: We analyzed main treatises written by Scarpa, highlighting how he contributed to the development of modern surgery.

Results: Scarpa made great innovations in three branches of surgery: abdominal surgery (hernia), orthopedics (clubfoot) and vascular surgery (aneurism).