Is synthetic data generation effective in maintaining clinical biomarkers? Investigating diffusion models across diverse imaging modalities.
Journal:
Frontiers in artificial intelligence
Published Date:
Jan 31, 2025
Abstract
INTRODUCTION: The integration of recent technologies in medical imaging has become a cornerstone of modern healthcare, facilitating detailed analysis of internal anatomy and pathology. Traditional methods, however, often grapple with data-sharing restrictions due to privacy concerns. Emerging techniques in artificial intelligence offer innovative solutions to overcome these constraints, with synthetic data generation enabling the creation of realistic medical imaging datasets, but the preservation of critical hidden medical biomarkers is an open question.
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