Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Patent Issued for Computer-implemented method for providing an encrypted dataset providing a global trained function, computer-implemented method for recovering personal information, computer system and computer program (USPTO 12512962). |
| Πηγή: |
Medical Imaging Week; 1/24/2026, p529-529, 1p |
| Θεματικοί όροι: |
Machine learning, Data privacy, Federated learning, Metadata, Patents, Personally identifiable information, Medical technology |
| Εταιρία/Οντότητα: |
Siemens Healthineers AG, United States. Patent & Trademark Office |
| Περίληψη: |
The article focuses on a patent filed by Siemens Healthineers AG for a computer-implemented method that enables the use of sensitive training datasets from multiple client systems while addressing privacy concerns. The method involves creating a global encrypted dataset through local training on encrypted data, allowing for machine learning without exposing personal information. It discusses the challenges of using pseudonymized data and the potential risks associated with federated learning, emphasizing the need for secure data handling in medical technology. The patent aims to enhance data privacy while facilitating the development of machine learning algorithms in healthcare settings. [Extracted from the article] |
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| Βάση Δεδομένων: |
Biomedical Index |