Verfahren zur Bildbasierten Klinischen Entscheidungsunterstützung für Axiale Spondyloarthritis unter Verwendung von Künstlicher Intelligenz

Details

Veröffentlichungs-Nr.

EP4773078

Anmeldetag

17. Dezember 2025

Veröffentlichung

8. Juli 2026

Rechtsraum

EP

IPC

G06T7/00

Abstract

The present invention relates to a method for generating diagnostic support information for axial spondyloarthritis. The method includes preprocessing an input MRI image through normalization and histogram matching. A first slice feature representing visual characteristics of the MRI image is extracted for each slice of the preprocessed MRI image by applying a first feature extraction model, and a second slice feature representing quantitative characteristics of bone marrow edema (BME) is extracted by applying a second feature extraction model to BME data associated with the MRI image. Slice-level integrated feature vectors are generated by combining the first and second slice features on a slice-by-slice basis and applying attention-based importance weights, and a patient-level final integrated feature vector is obtained by summing the weighted vectors. Diagnostic support information indicating whether axial spondyloarthritis is present is then generated by inputting the final integrated feature vector into a classification model.

Anmelder

Firma

Samsung Life Public Welfare Foundation

Land

🇰🇷 Südkorea

Fachgebiete