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理解人工智能与预测分析:机器学习技术的临床聚焦综述

Understanding Artificial Intelligence and Predictive Analytics: A Clinically Focused Review of Machine Learning Techniques.

作者信息

Cho Brian, Geng Eric, Arvind Varun, Valliani Aly A, Tang Justin E, Schwartz John, Dominy Calista, Cho Samuel K, Kim Jun S

机构信息

Department of Orthopedics, Icahn School of Medicine at Mount Sinai, New York, NY.

出版信息

JBJS Rev. 2022 Mar 18;10(3):01874474-202203000-00013. doi: e21.00142.

Abstract

»: Machine learning and artificial intelligence have seen tremendous growth in recent years and have been applied in numerous studies in the field of orthopaedics.

»: Machine learning will soon become critical in the day-to-day operations of orthopaedic practice; therefore, it is imperative that providers become accustomed to and familiar with not only the terminology but also the fundamental techniques behind the technology.

»: A foundation of knowledge regarding machine learning is critical for physicians so they can begin to understand the details in the algorithms that are being developed, which provide improved accuracy compared with clinicians, decreased time required, and a heightened ability to triage patients.

摘要

机器学习和人工智能近年来取得了巨大发展,并已应用于骨科领域的众多研究中。

机器学习很快将在骨科实践的日常操作中变得至关重要;因此,医疗服务提供者不仅必须熟悉该技术背后的术语,还必须熟悉其基本技术。

对于医生来说,机器学习的基础知识至关重要,这样他们才能开始理解正在开发的算法的细节,这些算法与临床医生相比具有更高的准确性、更短的所需时间以及更强的患者分诊能力。

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