New way to protect patient data for training AI models

Healthcare IT News August 6, 2024
Adam Ang

Encryption technology used in elections can potentially improve an AI model’s predictive capability without compromising patient data privacy.

A recent study in South Korea has explored the use of a cryptographic scheme widely used in secure elections to protect patient data used in training AI models.

Researchers from Asan Medical Center have applied homomorphic encryption (HE) to big data gathered from multiple institutions to test a predictive AI model. HE is an encryption method that allows computations on encrypted data.

FINDINGS

In a study, whose findings have been published in JMIR Medical Informatics, EMR data of over 300,000 patients from three hospitals – Asan Medical Center, Seoul National University Hospital, and Ewha Women’s University Seoul Hospital – were...

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