Success stories in protecting PHI and upcoming advancements in AI and ML

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This chapter highlights success stories in protecting PHI, including the detection of stolen laptops containing sensitive data and advancements in AI models for deployment in healthcare. The discussion also emphasizes the significance of federated learning in healthcare for overcoming data transfer restrictions and enhancing security.

We’ve all heard about breaches of privacy and leaks of private health information (PHI). For healthcare providers and those storing this data, knowing where all the sensitive data is stored is non-trivial. Ramin, from Tausight, joins us to discuss how they have deploy edge AI models to help company search through billions of records for PHI.

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