Artificial intelligence to analyze magnetic resonance imaging in rheumatology

LC Adams, KK Bressem, K Ziegeler, JL Vahldiek… - Joint Bone Spine, 2024 - Elsevier
Rheumatic disorders present a global health challenge, marked by inflammation and
damage to joints, bones, and connective tissues. Accurate, timely diagnosis and appropriate …

Machine learning approaches to the prediction of osteoarthritis phenotypes and outcomes

L Arbeeva, MC Minnig, KA Yates, AE Nelson - Current Rheumatology …, 2023 - Springer
Abstract Purpose of Review Osteoarthritis (OA) is a complex heterogeneous disease with no
effective treatments. Artificial intelligence (AI) and its subfield machine learning (ML) can be …

Identifying severity grading of knee osteoarthritis from x-ray images using an efficient mixture of deep learning and machine learning models

SM Ahmed, RJ Mstafa - Diagnostics, 2022 - mdpi.com
Recently, many diseases have negatively impacted people's lifestyles. Among these, knee
osteoarthritis (OA) has been regarded as the primary cause of activity restriction and …

Position paper From the digital twins in healthcare to the Virtual Human Twin: a moon-shot project for digital health research

M Viceconti, M De Vos, S Mellone… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
The idea of a systematic digital representation of the entire known human pathophysiology,
which we could call the Virtual Human Twin, has been around for decades. To date, most …

[HTML][HTML] Artificial intelligence in knee osteoarthritis: a comprehensive review

O Cigdem, CM Deniz - Osteoarthritis Imaging, 2023 - Elsevier
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 …

An osteoarthritis pathophysiological continuum revealed by molecular biomarkers

VB Kraus, S Sun, A Reed, EJ Soderblom… - Science …, 2024 - science.org
We aimed to identify serum biomarkers that predict knee osteoarthritis (OA) before the
appearance of radiographic abnormalities in a cohort of 200 women. As few as six serum …

Two-stage Classification of future knee osteoarthritis severity after 8 Years using MRI: data from the osteoarthritis initiative

TAT Nurmirinta, MJ Turunen, RK Korhonen… - Annals of Biomedical …, 2024 - Springer
Currently, there are no methods or tools available in clinical practice for classifying future
knee osteoarthritis (KOA). In this study, we aimed to fill this gap by classifying future KOA into …

[HTML][HTML] The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data

LH Boulogne, J Lorenz, D Kienzle, R Schön… - Medical Image …, 2024 - Elsevier
Challenges drive the state-of-the-art of automated medical image analysis. The quantity of
public training data that they provide can limit the performance of their solutions. Public …

[HTML][HTML] Evaluating the efficacy of deep learning models for knee osteoarthritis prediction based on Kellgren-Lawrence grading system

V Kalpana, GH Kumar - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
Osteoarthritis of the knee, also known as OA has been determined that osteoarthritis of the
knee is the leading cause of activity limitations and the development of disability, particularly …

Deep learning in rheumatological image interpretation

BC Stoel, M Staring, M Reijnierse… - Nature Reviews …, 2024 - nature.com
Artificial intelligence techniques, specifically deep learning, have already affected daily life
in a wide range of areas. Likewise, initial applications have been explored in rheumatology …