Artificial intelligence to assess body composition on routine abdominal CT scans and predict mortality in pancreatic cancer– A recipe for your local application

Volume: 142, Pages: 109834 - 109834
Published: Sep 1, 2021
Abstract

Abstract

Background

Body composition is associated with mortality; however its routine assessment is too time-consuming.

Purpose

To demonstrate the value of artificial intelligence (AI) to extract body composition measures from routine studies, we aimed to develop a fully automated AI approach to measure fat and muscles masses, to validate its clinical discriminatory value, and to provide the code, training data and...
Paper Details
Title
Artificial intelligence to assess body composition on routine abdominal CT scans and predict mortality in pancreatic cancer– A recipe for your local application
Published Date
Sep 1, 2021
Volume
142
Pages
109834 - 109834
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.