AIMC Topic: Arthritis
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Machine learning based association between inflammation indicators (NLR, PLR, NPAR, SII, SIRI, and AISI) and all-cause mortality in arthritis patients with hypertension: NHANES 1999-2018.
Frontiers in public health
Apr 4, 2025
BACKGROUND: This study aimed to evaluate the relationship between CBC-derived inflammatory markers (NLR, PLR, NPAR, SII, SIRI, and AISI) and all-cause mortality (ACM) risk in arthritis (AR) patients with hypertensive (HTN) using data from the NHANES.
Predicting rheumatoid arthritis progression from seronegative undifferentiated arthritis using machine learning: a deep learning model trained on the KURAMA cohort and externally validated with the ANSWER cohort.
Arthritis research & therapy
Mar 26, 2025
BACKGROUND: Undifferentiated arthritis (UA) often develops into rheumatoid arthritis (RA), but predicting disease progression from seronegative UA remains challenging because seronegative RA often does not meet the classification criteria. This study...
Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain.
Artificial intelligence in medicine
Feb 14, 2025
Arthritis is an inflammatory condition associated with joint damage, the incidence of which is increasing worldwide. In severe cases, arthritis can result in the restriction of joint movement, thereby affecting daily activities; as such, early and ac...
Automatic Joint Lesion Detection by enhancing local feature interaction.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Feb 10, 2025
Recently, deep learning models have demonstrated impressive performance in Automatic Joint Lesion Detection (AJLD), yet balancing accuracy and efficiency remains a significant challenge. This paper focuses on achieving end-to-end lesion detection whi...
Risk prediction of functional disability among middle-aged and older adults with arthritis: A nationwide cross-sectional study using interpretable machine learning.
International journal of orthopaedic and trauma nursing
Feb 4, 2025
BACKGROUND: Arthritis is a common chronic disease among middle-aged and older adults and is strongly related to functional decline.
Impact of COVID-19 on arthritis with generative AI.
International immunopharmacology
Apr 11, 2024
OBJECTIVE: The study aims to examine the effects of the COVID-19 pandemic on the prevalence of arthritis in the US using a specific generative AI tool.
Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images.
PloS one
Mar 11, 2024
Musculoskeletal conditions affect an estimated 1.7 billion people worldwide, causing intense pain and disability. These conditions lead to 30 million emergency room visits yearly, and the numbers are only increasing. However, diagnosing musculoskelet...
Deep learning-based assessment of knee septic arthritis using transformer features in sonographic modalities.
Computer methods and programs in biomedicine
May 3, 2023
PURPOSE: Septic arthritis is an infectious disease. Conventionally, the diagnosis of septic arthritis can only be based on the identification of causal pathogens taken from synovial fluid, synovium or blood samples. However, the cultures require seve...
High-resolution knee plain radiography image synthesis using style generative adversarial network adaptive discriminator augmentation.
Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Oct 5, 2022
In this retrospective study, 10,000 anteroposterior (AP) radiography of the knee from a single institution was used to create medical data set that are more balanced and cheaper to create. Two types of convolutional networks were used, deep convoluti...
Viewpoint on Time Series and Interrupted Time Series Optimum Modeling for Predicting Arthritic Disease Outcomes.
Current rheumatology reports
May 20, 2020
PURPOSE OF REVIEW: The propose of this viewpoint is to improve or facilitate the clinical decision-making in the management/treatment strategies of arthritis patients through knowing, understanding, and having access to an interactive process allowin...
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