Künstliches Neuronales Netzwerk

Details

Veröffentlichungs-Nr.

EP4790723

Anmeldetag

6. Februar 2025

Veröffentlichung

12. August 2026

Rechtsraum

EP

IPC

G16H50/20, G16H50/70

Abstract

Proposed concepts thus aim to provide schemes, solutions, concepts, designs, methods and systems pertaining to training an artificial neural network for interpreting clinical measurement signals. In particular, embodiments aim to provide a method for training an artificial neural network for interpreting clinical measurement signals by training the ANN on a plurality of non-manually annotated clinical measurement signals, and then automatically retraining said ANN on additional non-manually annotated clinical measurement signals responsive to a trigger (e.g., a specific time period elapsing and/or a threshold volume of new data in the database being reached).

Anmelder

Firma

Koninklijke Philips N.V.

Land

🇳🇱 Niederlande

Fachgebiete