Rheumatology

Arthritis

Latest AI and machine learning research in arthritis for healthcare professionals.

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Showing 337-357 of 2,120 articles
Development of machine learning models based on molecular fingerprints for selection of small molecule inhibitors against JAK2 protein.

Janus kinase 2 (JAK2) is emerging as a potential therapeutic target for many inflammatory diseases s...

Osteoarthritis year in review 2022: imaging.

PURPOSE: This narrative review summarizes original research focusing on imaging in osteoarthritis (O...

Deep Learning Prediction of Promoter Mutation Status in Thyroid Cancer Using Histologic Images.

objectives: Telomerase reverse transcriptase () promoter mutation, found in a subset of patients wi...

Cost-Effectiveness of Robot-Assisted Total Knee Arthroplasty: A Markov Decision Analysis.

BACKGROUND: Robot-assisted total knee arthroplasty (rTKA) may improve clinical outcomes for patients...

Deep learning applications in osteoarthritis imaging.

Deep learning (DL) is one of the most exciting new areas in medical imaging. This article will provi...

Prediction of knee adduction moment using innovative instrumented insole and deep learning neural networks in healthy female individuals.

BACKGROUND: The knee adduction moment, a biomechanical risk factor of knee osteoarthritis, is typica...

Democratization of deep learning for segmenting cartilage from MRIs of human knees: Application to data from the osteoarthritis initiative.

In this study, we aimed to democratize access to convolutional neural networks (CNN) for segmenting ...

Prediction of coronary heart disease in gout patients using machine learning models.

Growing evidence shows that there is an increased risk of cardiovascular diseases among gout patient...

Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models.

Background Radiomics is the extraction of predefined mathematic features from medical images for the...

Automatic assessment of knee osteoarthritis severity in portable devices based on deep learning.

BACKGROUND: For knee osteoarthritis, the commonly used radiology severity criteria Kellgren-Lawrence...

Preliminary outcomes of kinematically aligned robot-assisted total knee arthroplasty with patient-specific cartilage thickness measurement.

This study aimed to assess the preliminary outcomes of kinematically aligned robot-assisted total kn...

A novel application of neural networks to identify potentially effective combinations of biologic factors for enhancement of bone fusion/repair.

INTRODUCTION: The use of biologic adjuvants (orthobiologics) is becoming commonplace in orthopaedic ...

Artificial Intelligence and Deep Learning for Rheumatologists.

Deep learning has emerged as the leading method in machine learning, spawning a rapidly growing fiel...

High-resolution knee plain radiography image synthesis using style generative adversarial network adaptive discriminator augmentation.

In this retrospective study, 10,000 anteroposterior (AP) radiography of the knee from a single insti...

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