Quantitative Prediction of SYNTAX Score for Cardiovascular Artery Disease Patients via the Inverse Problem Algorithm Technique as Artificial Intelligence Assessment in Diagnostics.

Lin, Meng-Chiung; Tseng, Vincent S; Lin, Chih-Sheng; Chiu, Shao-Wen; Pan, Lung-Kwang; Pan, Lung-Fa

Lin, Meng-Chiung; Tseng, Vincent S; Lin, Chih-Sheng; Chiu, Shao-Wen; Pan, Lung-Kwang; Pan, Lung-Fa.

Afiliação

Lin MC; Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu 10041, Taiwan.
Tseng VS; Division of Gastroenterology, Department of Internal Medicine, Taichung Armed Forces General Hospital, Taichung 40044, Taiwan.
Lin CS; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu 10041, Taiwan.
Chiu SW; Department of Radiology, BenQ Medical Center, The Affiliated BenQ Hospital of the Nanjing Medical University, Nanjing 210000, China.
Pan LK; Department of Pet Business Management, Taipei University of Marine Technology, Taipei 10001, Taiwan.
Pan LF; Department of Medical Imaging and Radiological Science, Central Taiwan University of Science and Technology, Taichung 40044, Taiwan.

Diagnostics (Basel) ; 12(12)2022 Dec 15.

Article em En | MEDLINE | ID: mdl-36553187

Palavras-chave

SYNTAX; artificial intelligence; cardiovascular artery disease; computational analysis; inverse problem algorithm

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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