Application prospect of artificial intelligence in critical care medicine teaching

ZHENG Xiaobo; ZHANG

doi:10.3969/j.issn.2096-3351.2023.06.002

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Application prospect of artificial intelligence in critical care medicine teaching

更新时间：2024-02-04

- Application prospect of artificial intelligence in critical care medicine teaching
- Journal of Southwest Medical University Vol. 46, Issue 6, Pages: 468-472(2023)
- 作者机构：
  
  四川大学华西医院重症医学科,成都,610041
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.2096-3351.2023.06.002
  CLC：
- Published：2023，
  
  Published Online：20 November 2023，
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ZHENG Xiaobo, ZHANG. Application prospect of artificial intelligence in critical care medicine teaching. [J]. Journal of Southwest Medical University 46(6):468-472(2023)
DOI：

ZHENG Xiaobo, ZHANG. Application prospect of artificial intelligence in critical care medicine teaching. [J]. Journal of Southwest Medical University 46(6):468-472(2023) DOI： 10.3969/j.issn.2096-3351.2023.06.002.

摘要

重症医学是一门年轻的临床医学二级学科，通过30年的快速发展，我国重症医学已成为一门具有完整学科体系的综合性临床学科。重症医学的教学具有多学科广泛交叉、实践性强、病情危重、知识更新快的特点与难点。近年来，人工智能已广泛应用于多个领域，其在医学教学领域的应用也逐渐增多。如何通过结合人工智能从而提高重症医学的教学效果，是当前重症医学发展面临的挑战和机遇。本文对人工智能在重症医学教学中的应用前景进行了系统总结与评述，以期为加速重症医学教学的改革和发展提供参考与借鉴。

Abstract

Critical care medicine is a young second-level clinical medicine discipline. Through the rapid development in the past 30 years，China's critical care medicine has become a comprehensive clinical discipline with a complete disciplinary system. The teaching of critical care medicine has many difficulties，such as wide cross-disciplinarity，strong practicability，critical illness and fast knowledge updating. In recent years，artificial intelligence has been widely used in many fields，and its application in the field of medical teaching has gradually increased. How to improve the teaching effect of critical care medicine by combining artificial intelligence is the challenge and opportunity facing the development of critical care medicine. In this paper，the application prospect of artificial intelligence in critical care medicine teaching was systematically summarized，which could accelerate the innovation and development of critical care medicine teaching.

关键词

重症医学学科建设教学人工智能机器学习

Keywords

Critical Care MedicineSubject BuildingTeachingArtificial intelligenceMachine learning

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