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

Hirotaka Ieki Shefali S Verma Mike SajiRei KawakamiYuji NagatomoKaori TakadaToshiya KariyasuHaruhiko MachidaSatoshi KoyamaHiroki YoshidaRyo KurosawaHiroshi MatsunagaKazuo MiyazawaKouichi OzakiYoshihiro OnouchiSusumu KatsushikaRyo MatsuokaHiroki ShinoharaToshihiro YamaguchiSatoshi KoderaYasutomi Higashikuni Katsuhito Fujiu Hiroshi 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
magnetic resonance imaging
artificial intelligence
convolutional neural network
coronary artery disease
computed tomography
dual energy
cardiovascular risk factors
electron microscopy
contrast enhanced