Scannerfehlervorhersage basierend auf Bildbasiertem Deep Learning

EP4668287 Art A1 24. Dezember 2025

Anmelder: GE Precision Healthcare LLC 🇺🇸

Details

Veröffentlichungs-Nr.
EP4668287
Aktenzeichen
EP25179149
Anmeldetag
27. Mai 2025
Veröffentlichung
24. Dezember 2025
Rechtsraum
EP
IPC
G16H40/40G16H30/40
Offizieller Volltext

Abstract

Systems/techniques that facilitate scanner fault prediction via image-based deep learning are provided. In various embodiments, a system can access a medical image (e.g., via 106) captured by a medical imaging scanner (e.g., 104). In various aspects, the system can generate, via execution of at least one of one or more deep learning neural networks (e.g., 302) on the medical image, a failure classification label (e.g., 304) that indicates that the medical imaging scanner is afflicted by a first defined scanning failure from a plurality of defined scanning failures (e.g., 402). In various instances, the system can transmit an electronic notification (e.g., 1002) to a computing device associated with a technician of the medical imaging scanner, wherein the electronic notification can request that the medical imaging scanner be serviced to remedy the first defined scanning failure.

Anmelder

Firma
GE Precision Healthcare LLC
Land
🇺🇸 USA
🇺🇸 GE Precision Healthcare

US-amerikanische Sparte von GE HealthCare, entwickelt medizinische Bildgebungs- und Diagnosesysteme wie Röntgen-, MRT- und Ultraschallgeräte für Kliniken.

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