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

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References

2015Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement26,189 cited
2011QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies14,163 cited
2010CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials8,873 cited
2018PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies2,953 cited
2020Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension1,396 cited
2015STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies1,346 cited
2019AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias884 cited
2006Does the CONSORT checklist improve the quality of reports of randomised controlled trials? A systematic review873 cited
2020Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension483 cited
2016FairML : ToolBox for diagnosing bias in predictive modeling70 cited

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2024Leveraging AI for sustainable accounting: Developing models for environmental impact assessment and reporting45 cited
2022Big Data and Complex Data Analytics: Breaking Peer Review?15 cited

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