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人工智能在儿科神经放射学中的当前观点:概述

Dann Martin¹, Elizabeth Tong², Brendan Kelly³

¹Vanderbilt University, Nashville, TN, United States.

Frontiers in radiology

|July 26, 2023

概括

人工智能 (AI) 和机器学习正在改变放射学. 本综述探讨了儿童神经放射学中的人工智能应用,解决了放射科医生的挑战和未来机会.

科学领域:

放射学放射学是一门学科.
人工智能的人工智能
机器学习机器学习
神经辐射学神经辐射学
儿科放射学儿科放射学

背景情况:

人工智能 (AI),机器学习和相关技术越来越多地集成到各种行业,包括医学.
放射学包括所有子专业,需要专业人士熟悉这些新兴技术.
人工智能融入临床实践需要了解其应用和影响.

研究的目的:

审查常见的AI和机器视觉技术.
提供AI应用在临床神经放射学中的例子.
检查儿童神经放射学中人工智能采用的挑战和解决方案.

主要方法:

审查人工智能和机器视觉的定义和技术.
对临床神经放射学当前人工智能应用的分析.
识别和讨论特定于儿科神经放射学的挑战.

主要成果:

人工智能和机器视觉技术适用于神经放射学.
儿科神经放射学对人工智能实施提出了独特的挑战.
在儿科神经放射学中存在当前和潜在的未来AI应用的具体例子.

结论:

对所有放射科医生来说,熟悉AI至关重要.
克服挑战是成功采用儿童神经放射学人工智能的关键.
人工智能为推进儿科神经放射学实践提供了巨大的潜力.

关键词:

人工智能的人工智能是人工智能.深度学习是一种深度学习.机器学习是机器学习.神经辐射学神经辐射学儿科神经放射学儿科神经放射学

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