Controlling an alert signal for spectral computed tomography imaging

ChangeBridge: Patent Grants - AI & Computing (G06N)

Published April 7th, 2026

Detected April 7th, 2026

Summary

USPTO granted patent US12597139B2 to Koninklijke Philips N.V. covering a machine-learning method for spectral CT imaging that identifies areas of clinical relevance not visible in non-spectral CT data. The patent compares predicted spectral CT image data with actual spectral CT data to control alert signals for clinicians. The patent includes 15 claims and covers neural network-based processing of medical imaging data.

View original document View source feed page

What changed

USPTO granted patent US12597139B2 to Koninklijke Philips N.V. for a system that uses machine learning to process non-spectral CT image data and generate predicted spectral CT image data. The system identifies differences between predicted and actual spectral CT data to generate clinical alerts for areas of potential relevance not visible in standard CT images. The patent claims cover the algorithm methodology, alert generation mechanisms, and clinical imaging applications.

Medical device manufacturers developing spectral CT systems or AI-assisted medical imaging analysis tools should monitor this patent for potential licensing considerations or design-around opportunities. Healthcare providers implementing AI-based imaging analysis may need to consider intellectual property implications when deploying similar alert systems.

What to do next

Monitor for updates

Source document (simplified)

← USPTO Patent Grants

Controlling an alert signal for spectral computed tomography imaging

Grant US12597139B2 Kind: B2 Apr 07, 2026

Assignee

KONINKLIJKE PHILIPS N.V.

Inventors

Liran Goshen

Abstract

A mechanism for identifying potential areas of clinical relevance that are not readily visible in non-spectral CT image data. The non-spectral CT image data is processed using a machine-learning method to produce predicted spectral CT image data. The predicted spectral CT image data is compared to (actual) spectral CT image data to identify any differences between the two. Any identified differences are used to control an alert signal, for instance, to draw a clinician or other user's attention to possible areas of clinical relevance that are not readily visible in the non-spectral CT image data.

CPC Classifications

G06N 3/00 G06N 3/0464 A61B 6/032 A61B 6/4241 A61B 6/461 A61B 6/482 A61B 6/5205 A61B 6/54 A61B 8/5223 A61B 8/5292 G06T 2207/10081 G06T 2207/20081 G06T 2207/20224 G06T 7/0014