AIMC Topic: Rheumatic Diseases

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Assessing the Severity of COVID-19 Lung Injury in Rheumatic Diseases Versus the General Population Using Deep Learning-Derived Chest Radiograph Scores.

Arthritis care & research
OBJECTIVE: COVID-19 patients with rheumatic disease have a higher risk of mechanical ventilation than the general population. The present study was undertaken to assess lung involvement using a validated deep learning algorithm that extracts a quanti...

An introduction to machine learning and analysis of its use in rheumatic diseases.

Nature reviews. Rheumatology
Machine learning (ML) is a computerized analytical technique that is being increasingly employed in biomedicine. ML often provides an advantage over explicitly programmed strategies in the analysis of multidimensional information by recognizing relat...

Digital health technologies: opportunities and challenges in rheumatology.

Nature reviews. Rheumatology
The past decade in rheumatology has seen tremendous innovation in digital health technologies, including the electronic health record, virtual visits, mobile health, wearable technology, digital therapeutics, artificial intelligence and machine learn...

New criteria and new methodological tools for devising criteria sets of inflammatory rheumatic diseases.

Clinical and experimental rheumatology
Rheumatologists use classification criteria to separate patients with inflammatory rheumatic diseases (IRD). They change over time, and the concepts of the diseases also change. The paradigm is currently moving as the goal of classification in the fu...

Emerging role of eHealth in the identification of very early inflammatory rheumatic diseases.

Best practice & research. Clinical rheumatology
Digital health or eHealth technologies, notably pervasive computing, robotics, big-data, wearable devices, machine learning, and artificial intelligence (AI), have opened unprecedented opportunities as to how the diseases are diagnosed and managed wi...

Application of machine learning in rheumatic disease research.

The Korean journal of internal medicine
Over the past decade, there has been a paradigm shift in how clinical data are collected, processed and utilized. Machine learning and artificial intelligence, fueled by breakthroughs in high-performance computing, data availability and algorithmic i...

Ontology-based systematic representation and analysis of traditional Chinese drugs against rheumatism.

BMC systems biology
BACKGROUND: Rheumatism represents any disease condition marked with inflammation and pain in the joints, muscles, or connective tissues. Many traditional Chinese drugs have been used for a long time to treat rheumatism. However, a comprehensive infor...

Algorithmic approaches in hand imaging for rheumatic musculoskeletal diseases: A systematic literature review.

Seminars in arthritis and rheumatism
OBJECTIVE: This systematic literature review provides a comprehensive overview of the use of machine learning (ML) in hand imaging of rheumatic musculoskeletal diseases (RMDs). The review evaluates ML algorithms, imaging modalities, patient populatio...