Automatic Detection of Pancreatic Lesions and Main Pancreatic Duct Dilatation on Portal Venous CT Scans Using Deep Learning.

Objectives: This study proposes and evaluates a deep learning method to detect pancreatic neoplasms and to identify main pancreatic duct (MPD) dilatation on portal venous computed tomography scans.

Materials And Methods: A total of 2890 portal venous computed tomography scans from 9 institutions were acquired, among which 2185 had a pancreatic neoplasm and 705 were healthy controls. Each scan was reviewed by one in a group of 9 radiologists.

The personal and professional responsibilities of NPs in disaster response.

The fourth article in the Disaster Series presents the various duties that NPs may assume in a disaster. NPs possess advanced clinical knowledge and skills that position them to play key roles in all phases of a disaster.

Communicating data and information in disaster care.

This third installment of the Disaster Response Series focuses on the need for NPs to be familiar with the information communication technologies used in their geographic areas and be ready to use them when, not if, a disaster strikes.

Motor neuron disease: a chemical perspective.

This Perspective provides a background to the pathogenesis of neurodegenerative disease and specifically amyotrophic lateral sclerosis (ALS) and gives an overview of the many pathways, both genetically inheritable and sporadic, that may lead to the premature activation of apoptotic pathways in neurons, as well as current and proposed approaches toward interrupting these pathways.