Quantitative prediction of syntax score for cardiovascular artery disease patients via the inverse problem algorithm technique as artificial intelligence assessment in diagnostics

HIGHLIGHTS

• who: Meng-Chiung Lin and collaborators from the Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan have published the research work: Quantitative Prediction of SYNTAX Score for Cardiovascular Artery Disease Patients via the Inverse Problem Algorithm Technique as Artificial Intelligence Assessment in Diagnostics, in the Journal: Diagnostics 2022, 3180 of 30/06/2021
• what: Patients using the IPA technique as an artificial_intelligence assessment in clinical diagThe quantitative prediction of the semi-empirical SYNTAX score formula for cardiovascular artery dise nostics was evaluated in this study.

SUMMARY

 



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