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Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging
2024·34 Zitationen·Communications MedicineOpen Access
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Zitationen
9
Autoren
2024
Jahr
Abstract
Our study shows that - under the challenging realistic circumstances of a real-life clinical dataset - the privacy-preserving training of diagnostic deep learning models is possible with excellent diagnostic accuracy and fairness.
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Autoren
Institutionen
Themen
Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging