MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care.

MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care.
复制标题

MINIMAR(Minimum Information for Medical AI Reporting):为医疗保健中的人工智能制定报告标准。

DOI:
10.1093/jamia/ocaa088
复制
发表时间:
2020-12-09
期刊:
Journal of the American Medical Informatics Association : JAMIA
影响因子:
--
通讯作者:
Shah NH
Shah NH
中科院分区:
其他
文献类型:
--
作者:
Hernandez-Boussard T;Bozkurt S;Ioannidis JPA;Shah NH

文献摘要

参考文献

被引文献

相似文献

数字数据和计算能力的崛起促进了人工智能(AI)的显著进步,导致分类和预测模型在医疗保健中的使用,以增强诊断、治疗和预后的临床决策。然而,由于缺乏用于开发这些模型的数据的报告标准、模型架构以及模型评估和验证过程,这些进展受到限制。在这里,我们提出了MINIMAR(医疗人工智能报告的最小信息),这是一项建议,描述了理解预期预测、目标人群和隐藏偏见所需的最低信息,以及推广这些新兴技术的能力。我们呼吁建立一个标准,以准确和负责任地报告医疗保健领域的人工智能。这将促进这些模型的设计和实施,促进相关临床决策支持工具的开发和使用,以及管理对准确性和偏差的担忧。
The rise of digital data and computing power have contributed to significant advancements in artificial intelligence (AI), leading to the use of classification and prediction models in health care to enhance clinical decision-making for diagnosis, treatment and prognosis. However, such advances are limited by the lack of reporting standards for the data used to develop those models, the model architecture, and the model evaluation and validation processes. Here, we present MINIMAR (MINimum Information for Medical AI Reporting), a proposal describing the minimum information necessary to understand intended predictions, target populations, and hidden biases, and the ability to generalize these emerging technologies. We call for a standard to accurately and responsibly report on AI in health care. This will facilitate the design and implementation of these models and promote the development and use of associated clinical decision support tools, as well as manage concerns regarding accuracy and bias.
DOI: 10.1038/s41746-018-0029-1
发表时间: 2018-05-08
影响因子: 15.2
作者:
Rajkomar, Alvin;Oren, Eyal;Dean, Jeffrey
通讯作者: Dean, Jeffrey
DOI: 10.1001/jama.276.8.637
发表时间: 1996-08-28
影响因子: 120.7
作者:
Begg, C;Cho, M;Stroup, DF
通讯作者: Stroup, DF
DOI: 10.1093/jamia/ocw171
发表时间: 2017-03-01
影响因子: 6.4
作者:
Schiff, Gordon D.;Avolk, Lynn;Rozenblum, Ronen
通讯作者: Rozenblum, Ronen
DOI: 10.1038/s41591-018-0268-3
发表时间: 2019-01-01
期刊: NATURE MEDICINE
影响因子: 82.9
作者:
Hannun, Awni Y.;Rajpurkar, Pranav;Ng, Andrew Y.
通讯作者: Ng, Andrew Y.
DOI: 10.1002/msj.21351
发表时间: 2012-11-01
影响因子: --
作者:
Rothman, Brian;Leonard, Joan C.;Vigoda, Michael M.
通讯作者: Vigoda, Michael M.