A government-backed study in South Korea has developed an AI in medical imaging that has shown privacy-protecting capability.
A research team led by Asan Medical Center (AMC) created a deep learning model for diagnosing kidney disease from kidney CT images, which were encrypted using a method called homomorphic encryption.
Homomorphic encryption is an international standard for secure post-quantum cryptography that allows real-time computation and analysis of fully encrypted data without opening, according to AMC.
Study findings published in the journal Radiology: Artificial Intelligence showed that the model achieved 97%-99% accuracy in disease classification.
AMC noted that this proves "even with encrypted patient data, the model delivers analysis results at the same level as existing unencrypted models."
It was also found that while encryption increased image size by 500 times and slowed computational needs, the use of a high-performance GPU could complete an analysis within one to two minutes.
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