AI Medical Compendium Journal:
Annals of the rheumatic diseases

Showing 11 to 19 of 19 articles

Genomic risk scores for juvenile idiopathic arthritis and its subtypes.

Annals of the rheumatic diseases Sep 4, 2020
OBJECTIVES: Juvenile idiopathic arthritis (JIA) is an autoimmune disease and a common cause of chronic disability in children. Diagnosis of JIA is based purely on clinical symptoms, which can be variable, leading to diagnosis and treatment delays. De...
Risk Factors Male Adolescent Machine Learning Female Humans Genetic Predisposition to Disease Polymorphism, Single Nucleotide Cohort Studies Arthritis, Juvenile Child
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Applying cascaded convolutional neural network design further enhances automatic scoring of arthritis disease activity on ultrasound images from rheumatoid arthritis patients.

Annals of the rheumatic diseases Jun 5, 2020
OBJECTIVES: We have previously shown that neural network technology can be used for scoring arthritis disease activity in ultrasound images from rheumatoid arthritis (RA) patients, giving scores according to the EULAR-OMERACT grading system. We have ...
Humans Neural Networks, Computer Adult Male Middle Aged Female Reproducibility of Results Clinical Trials as Topic Joints Synovitis Rheumatology Arthritis, Rheumatoid Image Interpretation, Computer-Assisted Severity of Illness Index Ultrasonography
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Patient discussions of glucocorticoid-related side effects within an online health community forum.

Annals of the rheumatic diseases Mar 25, 2020
Arthritis, Rheumatoid Social Media Data Mining Machine Learning Glucocorticoids Humans
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Rare diseases 2030: how augmented AI will support diagnosis and treatment of rare diseases in the future.

Annals of the rheumatic diseases Mar 24, 2020
Familial Mediterranean Fever Rare Diseases Diagnosis, Computer-Assisted Adolescent Genetic Testing Symptom Assessment Decision Support Systems, Clinical Electronic Health Records Male Software Forecasting Humans Artificial Intelligence
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Response to: 'On using machine learning algorithms to define clinically meaningful patient subgroups' by Knevel and Huizinga.

Annals of the rheumatic diseases Aug 17, 2019
Machine Learning Algorithms Humans DNA
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On how to not misuse hierarchical clustering on principal components to define clinically meaningful patient subgroups. Response to: 'On using machine learning algorithms to define clinical meaningful patient subgroups' by Pinal-Fernandez and Mammen.

Annals of the rheumatic diseases Jul 24, 2019
Algorithms Cluster Analysis Humans Machine Learning
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On using machine learning algorithms to define clinically meaningful patient subgroups.

Annals of the rheumatic diseases Jul 11, 2019
Algorithms DNA Humans Machine Learning
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On using machine learning algorithms to define clinically meaningful patient subgroups.

Annals of the rheumatic diseases Jun 21, 2019
Humans Autoantibodies Machine Learning DNA
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Machine learning identifies an immunological pattern associated with multiple juvenile idiopathic arthritis subtypes.

Annals of the rheumatic diseases Mar 12, 2019
OBJECTIVES: Juvenile idiopathic arthritis (JIA) is the most common class of childhood rheumatic diseases, with distinct disease subsets that may have diverging pathophysiological origins. Both adaptive and innate immune processes have been proposed a...
Adaptive Immunity Case-Control Studies Immunophenotyping Adolescent Child Humans Arthritis, Juvenile Female Machine Learning Child, Preschool Flow Cytometry Male
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