Scannerfehlervorhersage basierend auf Bildbasiertem Deep Learning
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
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
US-amerikanische Sparte von GE HealthCare, entwickelt medizinische Bildgebungs- und Diagnosesysteme wie Röntgen-, MRT- und Ultraschallgeräte für Kliniken.
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Kilburn & Strode LLP
Kilburn & Strode LLP · London