Rheumatology

Arthritis

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

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Improved antimicrobial activities of essential oils nanoencapsulated into hydroxypropyl-beta-cyclodextrins.

Natural antimicrobials have recently gained increasing interest over synthetic antimicrobials to ove...

Ensemble deep-learning networks for automated osteoarthritis grading in knee X-ray images.

The Kellgren-Lawrence (KL) grading system is a scoring system for classifying the severity of knee o...

Machine learning models with time-series clinical features to predict radiographic progression in patients with ankylosing spondylitis.

OBJECTIVE: Ankylosing spondylitis (AS) is chronic inflammatory arthritis causing structural damage a...

Machine learning and deep neural network-based learning in osteoarthritis knee.

Osteoarthritis (OA) of the knee joint is considered the commonest musculoskeletal condition leading ...

Expanding from unilateral to bilateral: A robust deep learning-based approach for predicting radiographic osteoarthritis progression.

OBJECTIVE: To develop and validate a deep learning (DL) model for predicting osteoarthritis (OA) pro...

Deep Learning Augmented Osteoarthritis Grading Standardization.

Manual grading of cartilage histology images for investigating the extent and severity of osteoarthr...

Rapid screening for autoimmune diseases using Fourier transform infrared spectroscopy and deep learning algorithms.

INTRODUCE: Ankylosing spondylitis (AS), rheumatoid arthritis (RA), and osteoarthritis (OA) are three...

Considerations and targeted approaches to identifying bad actors in exposure mixtures.

Variable importance is a key statistical issue in exposure mixtures, as it allows a ranking of expos...

Machine learning application in autoimmune diseases: State of art and future prospectives.

Autoimmune diseases are a group of disorders resulting from an alteration of immune tolerance, chara...

Using Histologic Image Analysis to Understand Biophysical Regulations of Epithelial Cell Morphology.

Epithelial mechanics and mechanobiology have become 2 important research fields in life sciences and...

Predicting Psoriatic Arthritis in Psoriasis Patients - A Swiss Registry Study.

BACKGROUND: Psoriatic arthritis (PsA) is a prevalent comorbidity among patients with psoriasis, heav...

IF-AIP: A machine learning method for the identification of anti-inflammatory peptides using multi-feature fusion strategy.

BACKGROUND: The most commonly used therapy currently for inflammatory and autoimmune diseases is non...

Artificial intelligence in rheumatoid arthritis: potential applications and future implications.

The widespread adoption of digital health records, coupled with the rise of advanced diagnostic test...

Assessment of a novel deep learning-based software developed for automatic feature extraction and grading of radiographic knee osteoarthritis.

BACKGROUND: The Kellgren-Lawrence (KL) grading system is the most widely used method to classify the...

Rapid diagnosis of rheumatoid arthritis and ankylosing spondylitis based on Fourier transform infrared spectroscopy and deep learning.

OBJECTIVE: Rheumatoid arthritis and Ankylosing spondylitis are two common autoimmune inflammatory rh...

Epidemiology of osteoarthritis: literature update 2022-2023.

PURPOSE OF REVIEW: This review highlights recently published studies on osteoarthritis (OA) epidemio...

Artificial intelligence in osteoarthritis detection: A systematic review and meta-analysis.

OBJECTIVES: As an increasing number of studies apply artificial intelligence (AI) algorithms in oste...

Pediatric Psoriasis Associated with Van Wyk Grumbach Syndrome: A case report.

INTRODUCTION: Psoriasis is a common chronic inflammatory condition, often beginning in childhood in ...

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