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Deep learning to estimate impaired glucose metabolism from Magnetic Resonance Imaging of the liver: An opportunistic population screening approach.

Lea J MichelSusanne RospleszczMarco ReisertAlexander RauJohanna NattenmuellerWolfgang RathmannChristopher L SchlettAnnette PetersFabian BambergJakob Weiss
Published in: PLOS digital health (2024)
Deep learning can estimate impaired glucose metabolism on routine liver MRI independent of cardiometabolic risk factors and hepatic steatosis.
Keyphrases
  • deep learning
  • magnetic resonance imaging
  • risk factors
  • contrast enhanced
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • computed tomography
  • diffusion weighted imaging
  • clinical practice