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December 9, 2025JAMIA OpenOpen Access

Correction to: Biomedical data repositories require governance for artificial intelligence/machine learning applications at every step

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Key Points

The aim is to address the importance of governance in biomedical data repositories for AI and machine learning applications.
Correction of previously published findings.
Focus on governance requirements for data management.
Emphasis on steps necessary for responsible application of AI and ML.
Highlights the need for structured oversight in AI/ML use.
Clarifies the implications for data integrity and ethical concerns.
Reinforces the importance of governance at every stage of AI/ML application.

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Implication

Correction highlights the need for governance in AI/ML applications, enhancing biomedical data management.

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Cite This Study

A 2025 study studied this question.

synapsesocial.com/papers/69a1344fed1d949a99abe1f1 https://doi.org/10.1093/jamiaopen/ooaf173

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Biomedical data repositories require governance for artificial intelligence/machine learning applications at every step2025 · 2 citations
2Artificial Intelligence in Biomedical Scientific Publishingeditorial · 2026 · 1 citations
3Biological data governance in an age of AIOriginal Research · 2026 · 12 citations
4Transparency, accountability, and scholarly integrity: A systematic narrative review of artificial intelligence governance frameworks in healthcare publicationNarrative Review · 2026
5AI for science needs data – and here come ethical problemsOriginal Research · 2026

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