Rheumatology

Arthritis

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

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Machine learning prediction and explanatory models of serious infections in patients with rheumatoid arthritis treated with tofacitinib.

BACKGROUND: Patients with rheumatoid arthritis (RA) have an increased risk of developing serious inf...

Artificial intelligence-based data extraction for next generation risk assessment: Is fine-tuning of a large language model worth the effort?

To underpin scientific evaluations of chemical risks, agencies such as the European Food Safety Auth...

Multi-class segmentation of temporomandibular joint using ensemble deep learning.

Temporomandibular joint disorders are prevalent causes of orofacial discomfort. Diagnosis predominan...

Machine learning analysis of serum cholesterol's impact on knee osteoarthritis progression.

The controversy surrounding whether serum total cholesterol is a risk factor for the graded progress...

Diagnosing the Severity of Knee Osteoarthritis Using Regression Scores From Artificial Intelligence Convolution Neural Networks.

BACKGROUND: This study focused on using deep learning neural networks to classify the severity of os...

Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion.

Deep learning (DL) in orthopaedics has gained significant attention in recent years. Previous studie...

Machine learning in the prediction of treatment response in rheumatoid arthritis: A systematic review.

OBJECTIVE: This study aimed to investigate the current status and performance of machine learning (M...

Reliable prediction of implant size and axial alignment in AI-based 3D preoperative planning for total knee arthroplasty.

The size and axial alignment of prostheses, when planned during total knee replacement (TKA) are cri...

Contextual AI models for single-cell protein biology.

Understanding protein function and developing molecular therapies require deciphering the cell types...

Radiograph-based rheumatoid arthritis diagnosis via convolutional neural network.

OBJECTIVES: Rheumatoid arthritis (RA) is a severe and common autoimmune disease. Conventional diagno...

Evaluating and Enhancing Large Language Models' Performance in Domain-Specific Medicine: Development and Usability Study With DocOA.

BACKGROUND: The efficacy of large language models (LLMs) in domain-specific medicine, particularly f...

Fully and Weakly Supervised Deep Learning for Meniscal Injury Classification, and Location Based on MRI.

Meniscal injury is a common cause of knee joint pain and a precursor to knee osteoarthritis (KOA). T...

Fair AI-powered orthopedic image segmentation: addressing bias and promoting equitable healthcare.

AI-powered segmentation of hip and knee bony anatomy has revolutionized orthopedics, transforming pr...

Classification of osteoarthritic and healthy cartilage using deep learning with Raman spectra.

Raman spectroscopy is a rapid method for analysing the molecular composition of biological material....

Multimodal Machine Learning-Based Marker Enables Early Detection and Prognosis Prediction for Hyperuricemia.

Hyperuricemia (HUA) has emerged as the second most prevalent metabolic disorder characterized by pro...

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