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Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosis.

Hirotaka IekiShefali S VermaMike SajiRei KawakamiYuji NagatomoKaori TakadaToshiya KariyasuHaruhiko MachidaSatoshi KoyamaHiroki YoshidaRyo KurosawaHiroshi MatsunagaKazuo MiyazawaKouichi OzakiYoshihiro OnouchiSusumu KatsushikaRyo MatsuokaHiroki ShinoharaToshihiro YamaguchiSatoshi KoderaYasutomi HigashikuniKatsuhito FujiuHiroshi AkazawaNobuo IguchiMitsuaki IsobeTsutomu YoshikawaIssei Komuro
Published in: Communications medicine (2022)
Our results suggest that X-ray age can serve as a useful indicator of cardiovascular abnormalities, which will help clinicians to predict, prevent and manage cardiovascular diseases.
Keyphrases
  • deep learning
  • cardiovascular disease
  • high resolution
  • palliative care
  • artificial intelligence
  • type diabetes
  • convolutional neural network
  • dual energy
  • mass spectrometry
  • cardiovascular risk factors