Using edge models to find sensitive data
Practical AI
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Navigating ePHI Detection Challenges
This chapter explores the complexities of detecting sensitive data in healthcare, particularly the limitations of traditional tools and the role of AI in improving ePHI detection. It highlights the need for real-time AI processing at the edge to enhance data protection and discusses solutions to address challenges like data labeling and legacy systems. The conversation also emphasizes the importance of protecting personal health information through effective software solutions and shares practical examples and success stories.
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