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Artificial intelligence, data sharing, and privacy for retinal imaging under Brazilian Data Protection Law

Luis Filipe Nakayama1, Lucas Zago Ribeiro2, Fernando Korn Malerbi2

  • 1Department of Ophthalmology, São Paulo Federal University, St., 821, Vila Clementino, São Paulo, 04023-062, Brazil. nakayama.luis@unifesp.br.

International Journal of Retina and Vitreous
|April 8, 2025
PubMed
Summary

Artificial intelligence (AI) in healthcare risks bias from non-representative data, affecting minority groups. Developing equitable AI requires representative datasets, local validation, and adherence to FAIR principles for responsible data sharing.

Keywords:
Artificial intelligenceDatasetsRetinal imaging

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