AIMC Topic: Rheumatic Diseases
Clear Filters Showing 21 to 30 of 32 articles
Digital health technologies: opportunities and challenges in rheumatology.
Nature reviews. Rheumatology
Jul 24, 2020
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
Feb 14, 2020
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
Aug 27, 2019
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...
Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations.
RMD open
Jul 18, 2019
OBJECTIVE: To assess the current use of big data and artificial intelligence (AI) in the field of rheumatic and musculoskeletal diseases (RMDs).
Application of machine learning in rheumatic disease research.
The Korean journal of internal medicine
Dec 31, 2018
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
Dec 21, 2017
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
Aug 1, 2025
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...
Rise of the machines: how machine learning will shape the field of rheumatology.
Rheumatology (Oxford, England)
Sep 1, 2024
Artificial intelligence and machine learning in rheumatology.
Rheumatology (Oxford, England)
Aug 1, 2024
Harnessing of real-world data and real-world evidence using digital tools: utility and potential models in rheumatology practice.
Rheumatology (Oxford, England)
Feb 2, 2022
The diversity of diseases in rheumatology and variability in disease prevalence necessitates greater data parity in disease presentation, treatment responses including adverse events to drugs and various comorbidities. Randomized controlled trials ar...
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