在ACR中制定基于算法的建议:定义一个新的流程
Stella K Kang1, Jenny Hoang2, Tarik Alkasab3
1Vice Chair of Research, Professor, Columbia University Irving Medical Center, New York, New York.
Journal of the American College of Radiology : JACR
|November 10, 2025
概括
美国放射学学院 (ACR) 已经建立了一个新的,正式的过程,用于开发基于算法的成像建议. 这种以证据为导向的方法提高了未来临床指南的可扩展性和通用性.
科学领域:
- 放射学 放射学是一门学科.
- 医疗信息学 医疗信息学
- 临床指南 临床指南
背景情况:
- 美国放射学学院 (ACR) 曾在基于算法的建议中使用非正式的共识,限制了可扩展性和正式的指南指定.
- 由于缺乏正式的,以证据为基础的流程,这使得偶然发现和其他算法无法满足国家医学院的可信度指南标准.
- 由于缺乏标准化,基于证据的开发流程,观察到有限的推者和决策者采用.
研究的目的:
- 在ACR中引入一个新的,正式的,以证据为导向的过程,用于在ACR中开发基于算法的成像建议.
- 克服以前非正式共识方法的局限性,包括可扩展性和通用性.
- 为了使ACR算法能够满足作为临床指南的指定标准.
主要方法:
- 在ACR批准下组建一个多利益相关者委员会,包括来自关键ACR委员会,委员会和各种实践环境的代表.
- 开发一种正式的,以证据为基础的方法,以创建基于算法的成像建议.
- 确保该过程可以被各种ACR委员会普遍采用.
主要成果:
- 一个新的,正式的,以证据为导向的过程,以算法为基础的成像建议已经成功开发和记录.
- 新的过程解决了非正式共识的局限性,增强了可扩展性和通用性.
- 这种正式的方法旨在促进符合国家医学院可信度指南标准.
结论:
- 新开发的基于证据的过程为创建基于ACR算法的成像建议提供了强大的框架.
- 预计这种正式的流程将改善ACR建议的质量,采用和指导指南的指定.
- 该方法可通用,其他ACR委员会可以采用它来制定基于证据的建议.
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