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Patent Issued for Surgical computing system with support for interrelated machine learning models (USPTO 12573495).

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Τίτλος: Patent Issued for Surgical computing system with support for interrelated machine learning models (USPTO 12573495).
Πηγή: Medical Devices & Surgical Technology Week; 4/5/2026, p3550-3550, 1p
Θεματικοί όροι: Machine learning, Data privacy, Data management, Computer systems, Cloud computing, Classification, Electronic data processing
Περίληψη: This article focuses on a patent issued to Cilag GmbH International for a surgical computing system designed to support interaction between machine learning (ML) models while managing data privacy. The system classifies surgical data subsets by privacy levels and processing goals, determining data exchange behaviors and packaging data accordingly for ML models operating within facility networks or cloud networks. It balances privacy concerns with processing task importance by setting classification thresholds that govern which data subsets are transmitted to specific ML models. The patent outlines methods for dynamically updating processing goals and classification thresholds to optimize data handling in surgical environments. [Extracted from the article]
Copyright of Medical Devices & Surgical Technology Week is the property of NewsRx and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
FullText Text:
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DbLabel: Complementary Index
An: 192548728
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PubType: Periodical
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  Data: Patent Issued for Surgical computing system with support for interrelated machine learning models (USPTO 12573495).
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  Data: Medical Devices & Surgical Technology Week; 4/5/2026, p3550-3550, 1p
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  Data: <searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Data+privacy%22">Data privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Data+management%22">Data management</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+systems%22">Computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink><br /><searchLink fieldCode="DE" term="%22Classification%22">Classification</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink>
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  Data: This article focuses on a patent issued to Cilag GmbH International for a surgical computing system designed to support interaction between machine learning (ML) models while managing data privacy. The system classifies surgical data subsets by privacy levels and processing goals, determining data exchange behaviors and packaging data accordingly for ML models operating within facility networks or cloud networks. It balances privacy concerns with processing task importance by setting classification thresholds that govern which data subsets are transmitted to specific ML models. The patent outlines methods for dynamically updating processing goals and classification thresholds to optimize data handling in surgical environments. [Extracted from the article]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Medical Devices & Surgical Technology Week is the property of NewsRx and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=192548728
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        Text: English
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        StartPage: 3550
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      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Data privacy
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      – SubjectFull: Data management
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      – TitleFull: Patent Issued for Surgical computing system with support for interrelated machine learning models (USPTO 12573495).
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              Text: 4/5/2026
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              Y: 2026
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