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Evidence record 8984 · automatically gathered

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

INTRODUCTION: Standards for Reporting of Diagnostic Accuracy Study (STARD) was developed to improve the completeness and transparency of reporting in studies investigating diagnostic test accuracy. However, its current form, STARD 2015 does not address the issues and challenges raised by artificial intelligence (AI)-centred interventions. As such, we propose an AI-specific version of the STARD checklist (STARD-AI), which focuses on the reporting of AI diagnostic test accuracy studies. This paper

Record details

Published: 1 June 2021
Source: OpenAlex
Category: Research
Topics: Healthcare · Transparency · Finance, VC & PE
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (1 June 2021), “Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol,” evidence record 8984, https://ethics.ai/record/8984 (originally published by OpenAlex).

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