Rheumatology

Arthritis

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

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Pathomics in urology.

PURPOSE OF REVIEW: Pathomics, the fusion of digitalized pathology and artificial intelligence, is cu...

Improved Classification of Medical Data Using Meta-Best Feature Selection.

Feature selection provides a useful method for reducing the size of large data sets while maintainin...

Design and Preliminary Implementation of an Air Microfluidics Enabled Soft Robotic Knee Brace Towards the Management of Osteoarthritis.

A dynamic and low-profile unloader tibiofemoral knee brace is designed and prototyped by synergizing...

[Deep learning indications for high tibial osteotomy].

High tibial osteotomy (HTO) is an effective treatment for knee osteoarthritis. With the application ...

Quick and accurate selection of hand images among radiographs from various body parts using deep learning.

BACKGROUND: Although rheumatoid arthritis (RA) causes destruction of articular cartilage, early trea...

Use of artificial intelligence in imaging in rheumatology - current status and future perspectives.

After decades of basic research with many setbacks, artificial intelligence (AI) has recently obtain...

Development of Genome-Derived Tumor Type Prediction to Inform Clinical Cancer Care.

IMPORTANCE: Diagnosing the site of origin for cancer is a pillar of disease classification that has ...

Machine-learning-based knowledge discovery in rheumatoid arthritis-related registry data to identify predictors of persistent pain.

Early detection of patients with chronic diseases at risk of developing persistent pain is clinicall...

A Robotic Glenohumeral Simulator for Investigating Prosthetic Implant Subluxation.

Total shoulder arthroplasty (TSA) is an effective treatment for glenohumeral (GH) osteoarthritis. Ho...

Artificial intelligence in detecting early RA.

To prevent chronicity of Rheumatoid Arthritis (RA) by early treatment, detecting inflammatory signs ...

Automated A-line coronary plaque classification of intravascular optical coherence tomography images using handcrafted features and large datasets.

We developed machine learning methods to identify fibrolipidic and fibrocalcific A-lines in intravas...

Classification and Assessment of Hand Arthritis Stage using Support Vector Machine.

Arthritis is one of the most common health problems affecting people around the world. The goal of t...

Predicting lymphoma outcomes and risk factors in patients with primary Sjögren's Syndrome using gradient boosting tree ensembles.

Primary Sjogren's Syndrome (pSS) is a chronic autoimmune disease followed by exocrine gland dysfunct...

Development of a Robotic Unloader Brace for Investigation of Conservative Treatment of Medial Knee Osteoarthritis.

Knee osteoarthritis (KOA) is a painful and debilitating condition that is associated with mechanical...

Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs.

Osteoarthritis (OA) classification in the knee is most commonly done with radiographs using the 0-4 ...

Deep Learning for Chondrocyte Identification in Automated Histological Analysis of Articular Cartilage.

BACKGROUND: Histology-based methods are commonly used in osteoarthritis (OA) research because they p...

Prediction of Citrullination Sites on the Basis of mRMR Method and SNN.

BACKGROUND: Citrullination, an important post-translational modification of proteins, alters the mol...

Machine-learning-based patient-specific prediction models for knee osteoarthritis.

Osteoarthritis (OA) is an extremely common musculoskeletal disease. However, current guidelines are ...

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