Better Reporting of Studies on Artificial Intelligence: CONSORT-AI and Beyond

被引：21

作者：

Schwendicke, F. ^{[1
]}

Krois, J. ^{[1
]}

机构：

[1] Charite Univ Med Berlin, Dept Oral Diagnost, Digital Hlth & Hlth Serv Res, Assmannshauser Str 4-6, D-14197 Berlin, Germany

来源：

JOURNAL OF DENTAL RESEARCH | 2021年 / 100卷 / 07期

关键词：

clinical studies; trials; computer vision; decision-making; deep learning; personalized medicine; software engineering; QUALITY; TOOL;

D O I：

10.1177/0022034521998337

中图分类号：

R78 [口腔科学];

学科分类号：

1003 ;

摘要：

An increasing number of studies on artificial intelligence (AI) are published in the dental and oral sciences. The reporting, but also further aspects of these studies, suffer from a range of limitations. Standards towards reporting, like the recently published Consolidated Standards of Reporting Trials (CONSORT)-AI extension can help to improve studies in this emerging field, and the Journal of Dental Research (JDR) encourages authors, reviewers, and readers to adhere to these standards. Notably, though, a wide range of aspects beyond reporting, located along various steps of the AI lifecycle, should be considered when conceiving, conducting, reporting, or evaluating studies on AI in dentistry.

引用

页码：677 / 680

页数：4

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