RATING: Medical knowledge-guided rheumatoid arthritis assessment from multimodal ultrasound images via deep learning.

ABSTRACT: Multimodal ultrasound has demonstrated its power in the clinical assessment of rheumatoid arthritis (RA). However, for radiologists, it requires strong experience. In this paper, we propose a rheumatoid arthritis knowledge guided (RATING) system that automatically scores the RA activity and generates interpretable features to assist radiologists' decision-making based on deep learning. RATING leverages the complementary advantages of multimodal ultrasound images and solves the limited training data problem with self-supervised pretraining. RATING outperforms all of the existing methods, achieving an accuracy of 86.1% on a prospective test dataset and 85.0% on an external test dataset. A reader study demonstrates that the RATING system improves the average accuracy of 10 radiologists from 4

SUBMITTER: Zhou Z 

PROVIDER: S-EPMC9583187 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature