关键词: artificial intelligence clinical practice consensus statements guidelines standards systematic review

Mesh : Humans Artificial Intelligence Consensus Databases, Factual Medicine Guidelines as Topic

来  源:   DOI:10.2196/46089   PDF(Pubmed)

Abstract:
The application of artificial intelligence (AI) in the delivery of health care is a promising area, and guidelines, consensus statements, and standards on AI regarding various topics have been developed.
We performed this study to assess the quality of guidelines, consensus statements, and standards in the field of AI for medicine and to provide a foundation for recommendations about the future development of AI guidelines.
We searched 7 electronic databases from database establishment to April 6, 2022, and screened articles involving AI guidelines, consensus statements, and standards for eligibility. The AGREE II (Appraisal of Guidelines for Research & Evaluation II) and RIGHT (Reporting Items for Practice Guidelines in Healthcare) tools were used to assess the methodological and reporting quality of the included articles.
This systematic review included 19 guideline articles, 14 consensus statement articles, and 3 standard articles published between 2019 and 2022. Their content involved disease screening, diagnosis, and treatment; AI intervention trial reporting; AI imaging development and collaboration; AI data application; and AI ethics governance and applications. Our quality assessment revealed that the average overall AGREE II score was 4.0 (range 2.2-5.5; 7-point Likert scale) and the mean overall reporting rate of the RIGHT tool was 49.4% (range 25.7%-77.1%).
The results indicated important differences in the quality of different AI guidelines, consensus statements, and standards. We made recommendations for improving their methodological and reporting quality.
PROSPERO International Prospective Register of Systematic Reviews (CRD42022321360); https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=321360.
摘要:
背景:人工智能(AI)在提供医疗保健方面的应用是一个有前途的领域,和指导方针,共识声明,并制定了有关各种主题的AI标准。
目的:我们进行这项研究以评估指南的质量,共识声明,和AI医学领域的标准,并为有关AI指南未来发展的建议提供基础。
方法:我们从数据库建立到2022年4月6日搜索了7个电子数据库,并筛选了涉及AI指南的文章,共识声明,和资格标准。AGREEII(研究与评估指南II的评估)和RIGHT(医疗保健实践指南的报告项目)工具用于评估所包括文章的方法和报告质量。
结果:本系统综述包括19篇指南文章,14条协商一致声明条款,和2019年至2022年期间发布的3篇标准文章。他们的内容涉及疾病筛查,诊断,和治疗;人工智能干预试验报告;人工智能成像开发和协作;人工智能数据应用;以及人工智能伦理治理和应用。我们的质量评估显示,平均总体AGREEII评分为4.0(范围为2.2-5.5;7分Likert量表),RIGHT工具的平均总体报告率为49.4%(范围为25.7%-77.1%)。
结论:结果表明不同AI指南的质量存在重要差异,共识声明,和标准。我们提出了改进其方法和报告质量的建议。
背景:PROSPERO国际系统审查前瞻性注册(CRD42022321360);https://www。crd.约克。AC.uk/prospro/display_record.php?RecordID=321360。
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