Machine learning for interconnected surgical theater architecture
US11276001B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 10, 2021 |
| Grant date | Mar 15, 2022 |
| Priority date | — |
| Expiry date | Jun 10, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2209/805
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Each of a plurality of edge computing devices are configured to receive data streams generated by at least one sensor forming part of a respective medical device (e.g., a sensor-equipped surgical tool, etc.) which, in turn, characterizes use of the respective medical device in relation to a particular patient. Each of the edge computing devices can execute at least one machine learning model which generates or from which model attributes are derived. The generated model attributes are anonymized using an anonymization technique such as k-anonymity. The anonymized generated model attributes are homomorphically encrypted and transmitted to a central server. Encrypted model attribute updates to at least one of the machine learning models are later received from the central server which results in the machine learning models executing on one or more of the edge computing devices to be updated based on the received encrypted model attribute updates.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.