Beijing University of Technology Reports Findings in Machine Learning (Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance)

Robotics & Machine Learning Daily News2024，Issue(Jan.19) ：22-23.

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Beijing University of Technology Reports Findings in Machine Learning (Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsoriginating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Recently,computational fluid dynamics enables the non-invasive calculation of fractional flow reserve (FFR) basedon 3D coronary model, but it is time-consuming. Currently, machine learning technique has emerged asan efficient and reliable approach for prediction, which allows saving a lot of analysis time.”

Key words

Beijing/People’s Republic of China/Asia/Angiology/Cardiovascular Physiological Phenomena/Cardiovascular Physiological Processes/Cyborgs/Emerging Technologies/Health and Medicine/Hemodynamics/Machine Learning/Stenosis

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出版年

2024

Robotics & Machine Learning Daily News

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