Maschinenlernen basierend auf einem Radiologiebericht

Details

Veröffentlichungs-Nr.

EP4210070

Aktenzeichen

EP22151001

Anmeldetag

11. Januar 2022

Veröffentlichung

12. Juli 2023

Rechtsraum

EP

IPC

G16H30/40G16H40/67G16H50/20G16H50/70

Abstract

Techniques of determining a performance of a trained machine-learning algorithm are disclosed. The trained ML algorithm can be configured to process medical imaging data and thereby generate a prediction of at least one diagnosis of a patient based on the medical imaging data. The prediction of the at least one diagnosis of the patient is compared with a validated label of the at least one diagnosis of the patient and thereby the performance of the trained ML algorithm is determined based on the comparison. The validated label of the at least one diagnosis of the patient is obtained by parsing a validated radiology report of the patient and the medical imaging data is associated with the validated radiology report. If the performance of the trained ML algorithm is lower than a pre-defined threshold, an update of parameters of the trained ML algorithm may be triggered based on the validated label.

Anmelder

Firmen

Siemens Healthineers AG
Siemens Healthcare GmbH

Land

🇩🇪 Deutschland

Fachgebiete