Zielstrahlungsdosisschätzung für Medizinische Bildgebungsuntersuchungen mit Nutzung von Künstlicher Intelligenz

Details

Veröffentlichungs-Nr.

EP4797272

Anmeldetag

30. Januar 2026

Veröffentlichung

26. August 2026

Rechtsraum

EP

Abstract

Techniques for estimating target radiation doses for medical imaging exams leveraging artificial intelligence (AI) are described. In an example, a method can comprise training an AI model to estimate target dose information for past medical imaging exams using historical exam reports for the past imaging exams and actual radiation dose information included in the historical exam reports indicating actual radiation dosages exposed to past patients as a result of the past imaging exams. Once trained, the AI model is applied to estimate the target dose information for new medical imaging exams prior to performance of the new exams. The target dose information is further provided to the corresponding imaging systems scheduled for the new exams. In some implementations, the target dose information can control the acquisition protocol used for the exams to ensure compliance with the target dose information.

Anmelder

Firma

GE Precision Healthcare LLC

Land

🇺🇸 USA