AIMC Topic: Rheumatic Diseases
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The emerging paradigm in pediatric rheumatology: harnessing the power of artificial intelligence.
Rheumatology international
Jul 16, 2024
Artificial intelligence algorithms, with roots extending into the past but experiencing a resurgence and evolution in recent years due to their superiority over traditional methods and contributions to human capabilities, have begun to make their pre...
Machine learning techniques for prediction in pregnancy complicated by autoimmune rheumatic diseases: Applications and challenges.
International immunopharmacology
May 11, 2024
Autoimmune rheumatic diseases are chronic conditions affecting multiple systems and often occurring in young women of childbearing age. The diseases and the physiological characteristics of pregnancy significantly impact maternal-fetal health and pre...
Deep learning in rheumatological image interpretation.
Nature reviews. Rheumatology
Feb 8, 2024
Artificial intelligence techniques, specifically deep learning, have already affected daily life in a wide range of areas. Likewise, initial applications have been explored in rheumatology. Deep learning might not easily surpass the accuracy of class...
Doctor versus artificial intelligence: patient and physician evaluation of large language model responses to rheumatology patient questions: comment on the article by Ye et al.
Arthritis & rheumatology (Hoboken, N.J.)
Jan 29, 2024
Rapid screening for autoimmune diseases using Fourier transform infrared spectroscopy and deep learning algorithms.
Frontiers in immunology
Dec 15, 2023
INTRODUCE: Ankylosing spondylitis (AS), rheumatoid arthritis (RA), and osteoarthritis (OA) are three rheumatic immune diseases with many common characteristics. If left untreated, they can lead to joint destruction and functional limitation, and in s...
Artificial intelligence to analyze magnetic resonance imaging in rheumatology.
Joint bone spine
Oct 4, 2023
Rheumatic disorders present a global health challenge, marked by inflammation and damage to joints, bones, and connective tissues. Accurate, timely diagnosis and appropriate management are crucial for favorable patient outcomes. Magnetic resonance im...
Artificial intelligence and laboratory data in rheumatic diseases.
Clinica chimica acta; international journal of clinical chemistry
May 13, 2023
Artificial intelligence (AI)-based medical technologies are rapidly evolving into actionable solutions for clinical practice. Machine learning (ML) algorithms can process increasing amounts of laboratory data such as gene expression immunophenotyping...
Do artificial neural networks love sex? How the combination of artificial neural networks with evolutionary algorithms may help to identify gender influence in rheumatic diseases.
Clinical and experimental rheumatology
Jan 23, 2023
Although medical research has been performed predominantly on men both in preclinical and clinical studies, continuous efforts have been made to overcome this gender bias. Examining retrospectively 21 data sets containing sex as one of the descriptiv...
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
Oct 21, 2022
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
Nov 2, 2021
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...
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