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人工智能和机器学习:你一直想知道但害怕问的问题
Puru Rattan1, Daniel D Penrice1, Douglas A Simonetto1
1Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
人工智能 (AI) 和机器学习 (ML) 在健康科学,特别是胃肠病学中越来越重要. 本综述解释了临床医生掌握这些基本工具的基本AI和ML概念.
科学领域:
- 健康科学 卫生科学 卫生科学
- 医疗信息学 医疗信息学
- 胃肠病学和肝病学
背景情况:
- 越来越多的科学和临床数据,包括电子健康记录,正在推动人工智能的采用.
- 机器学习 (ML) 和深度学习 (DL) 技术在医学中得到了快速发展和应用.
- 人工智能和ML正在显著影响胃肠病学和肝病学研究和临床实践.
研究的目的:
- 提供对人工智能 (AI) 和机器学习 (ML) 概念的基本理解.
- 为临床医生解密AI和ML,强调它们日益增长的重要性.
- 审查常见的ML方法,包括深度学习.
主要方法:
- 审查人工智能的基本概念.
- 机器学习原理的解释,基于古典统计学.
- 描述常见的机器学习和深度学习方法.
主要成果:
- 人工智能和机器学习正在成为健康科学中的重要工具.
- 对临床医生来说,熟悉AI和ML概念将至关重要.
- 该审查概述了与医疗应用相关的关键ML技术.
结论:
- 人工智能和机器学习正在改变胃肠病学和肝病学.
- 临床医生需要为未来的实践发展AI和ML的技能.
- 了解ML基础是利用这些强大的技术的关键.
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