Verfahren und System zur auf Künstlicher Intelligenz Basierenden Beurteilung der Knochenmineraldichte aus Computertomografiescans

EP4800643 2. September 2026

Anmelder: Westerhoff, Malte, Lindow, Norbert, Herter, Felix, Bousabarah, Khaled, Visage Imaging GmbH 🇩🇪

Details

Veröffentlichungs-Nr.
EP4800643
Anmeldetag
27. Februar 2026
Veröffentlichung
2. September 2026
Rechtsraum
EP
IPC
G06T7/00, A61B6/50, A61B6/00
Offizieller Volltext

Abstract

In an embodiment of the present invention, a method converts continuous scores from an AI disease classifier into clinically meaningful risk estimates. Historical score-outcome data are binned into percentiles, and the cumulative disease fraction is fitted with a differentiable curve for example a two-Beta mixture. The curve's derivative yields an instantaneous risk ratio that, combined with baseline prevalence, provides an absolute disease malady probability. Risk ratio and absolute probability ensures comparability across model versions, improving interpretability. The invention includes associated systems, software, and computer-readable media.

Anmelder

Firmen
Westerhoff, Malte
Lindow, Norbert
Herter, Felix
Bousabarah, Khaled
Visage Imaging GmbH
Land
🇩🇪 Deutschland

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