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Deep learning approach for analyzing chest x-rays to predict cardiac events in heart failure.
Kusunose, Kenya; Hirata, Yukina; Yamaguchi, Natsumi; Kosaka, Yoshitaka; Tsuji, Takumasa; Kotoku, Jun'ichi; Sata, Masataka.
Affiliation
  • Kusunose K; Department of Cardiovascular Medicine, Tokushima University Hospital, Tokushima, Japan.
  • Hirata Y; Ultrasound Examination Center, Tokushima University Hospital, Tokushima, Japan.
  • Yamaguchi N; Ultrasound Examination Center, Tokushima University Hospital, Tokushima, Japan.
  • Kosaka Y; Department of Cardiovascular Medicine, Tokushima University Hospital, Tokushima, Japan.
  • Tsuji T; Department of Radiological Technology, Graduate School of Medical Care and Technology, Teikyo University, Tokyo, Japan.
  • Kotoku J; Department of Radiological Technology, Graduate School of Medical Care and Technology, Teikyo University, Tokyo, Japan.
  • Sata M; Department of Cardiovascular Medicine, Tokushima University Hospital, Tokushima, Japan.
Front Cardiovasc Med ; 10: 1081628, 2023.
Article in En | MEDLINE | ID: mdl-37273880
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline / Prognostic_studies / Risk_factors_studies Language: En Journal: Front Cardiovasc Med Year: 2023 Type: Article Affiliation country: Japan
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline / Prognostic_studies / Risk_factors_studies Language: En Journal: Front Cardiovasc Med Year: 2023 Type: Article Affiliation country: Japan