Deep learning-based automatic left atrial appendage filling defects assessment on cardiac computed tomography for clinical and subclinical atrial fibrillation patients.

Chen, Ling; Huang, Sung-Hao; Wang, Tzu-Hsiang; Lan, Tzuo-Yun; Tseng, Vincent S; Tsao, Hsuan-Ming; Wang, Hsueh-Han; Tang, Gau-Jun

Chen, Ling; Huang, Sung-Hao; Wang, Tzu-Hsiang; Lan, Tzuo-Yun; Tseng, Vincent S; Tsao, Hsuan-Ming; Wang, Hsueh-Han; Tang, Gau-Jun.

Afiliação

Chen L; Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Huang SH; Division of Cardiology, Department of Internal Medicine, National Yang Ming Chiao Tung University Hospital, Yi-Lan, Taiwan.
Wang TH; Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Lan TY; Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Tseng VS; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Tsao HM; Division of Cardiology, Department of Internal Medicine, National Yang Ming Chiao Tung University Hospital, Yi-Lan, Taiwan.
Wang HH; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Tang GJ; Department of Radiology, National Yang Ming Chiao Tung University Hospital, Yi-Lan, Taiwan.

Heliyon ; 9(1): e12945, 2023 Jan.

Article em En | MEDLINE | ID: mdl-36699283

Palavras-chave

AA, Ascending aorta; AF, Atrial fibrillation; AI, Artificial intelligence; AUC, Area under the ROC curve; Artificial intelligence; Atrial fibrillation; CI, Confidence interval; Computed tomography; DL, Deep learning; Deep learning; ECG, Electrocardiogram; HU, Hounsfield unit; ICC, Intraclass correlation coefficient; LAA, Left atrial appendage; Left atrial appendage; ROC, Receiver operating characteristics; ROI, Region of interest; SD, Standard deviation

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Texto completo: 1 Temas: ECOS / Aspectos_gerais Bases de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Heliyon Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan

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