Knee osteoarthritis (OA) is a deliberating joint disorder characterized by cartilage loss that
can be captured by imaging modalities and translated into imaging features. Observing …

Knee osteoarthritis (OA) is a prevalent and disabling disease that can develop over
decades. This disease is heterogeneous and involves structural changes in the whole joint …

Objective The aim of this literature review is to yield a comprehensive and exhaustive
overview of the existing evidence and up-to-date applications of artificial intelligence for …

Longitudinal studies, where a series of images from the same set of individuals are acquired
at different time-points, represent a popular technique for studying and characterizing …

Objective To employ novel methodologies to identify phenotypes in knee OA based on
variation among three baseline data blocks: 1) femoral cartilage thickness, 2) tibial cartilage …

Abstract Background and Objective: Multi-grade osteoarthritis (OA) deterioration monitoring
in the daily paradigm using Vibroarthrography (VAG) is very challenging due to two …

Multiple imaging modalities are often used for disease diagnosis, prediction, or population-
based analyses. However, not all modalities might be available due to cost, different study …

Recently, vision-language representation learning has made remarkable advancements in
building up medical foundation models, holding immense potential for transforming the …

Medical records often consist of different modalities, such as images, text, and tabular
information. Integrating all modalities offers a holistic view of a patient's condition, while …

Glaucoma causes progressive visual field deterioration and is the leading cause of
blindness worldwide. Glaucomatous damage is irreversible and greatly impacts quality of …