Robotics & Machine Learning Daily News2024,Issue(Jul.1) :132-133.

National University of Singapore Reports Findings in Artificial Intelligence (Ha rnessing the power of artificial intelligence in predicting all-cause mortality in transcatheter aortic valve replacement: a systematic review and meta-analysis )

新加坡国立大学报告人工智能的发现(人工智能预测经导管主动脉瓣置换术全因死亡率的能力:系统回顾和荟萃分析)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :132-133.

National University of Singapore Reports Findings in Artificial Intelligence (Ha rnessing the power of artificial intelligence in predicting all-cause mortality in transcatheter aortic valve replacement: a systematic review and meta-analysis )

新加坡国立大学报告人工智能的发现(人工智能预测经导管主动脉瓣置换术全因死亡率的能力:系统回顾和荟萃分析)

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摘要

一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。根据NewsRx记者从新加坡新加坡发回的新闻报道,研究表明,“近年来,”使用人工智能(AI)模型生成个体化风险评估NTs,并预测经导管主动脉瓣置入术(TAVI)后的患者预后,是文献中越来越相关的话题。本研究旨在评估人工智能算法在预测TAVI后死亡率方面与传统风险评分相比的预测准确性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Singapo re, Singapore, by NewsRx journalists, research stated, “In recent years, the use of artificial intelligence (AI) models to generate individualised risk assessme nts and predict patient outcomes post-Transcatheter Aortic Valve Implantation (T AVI) has been a topic of increasing relevance in literature. This study aims to evaluate the predictive accuracy of AI algorithms in forecasting post-TAVI morta lity as compared to traditional risk scores.”

Key words

Singapore/Singapore/Asia/Artificial I ntelligence/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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