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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: Apr 19, 2024
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Artificial intelligence in osteoarthritis detection: a systematic review and meta-analysis.
Soheil Mohammadi et al. Osteoarthritis Cartilage 2023
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Development and validation of a machine learning-supported strategy of patient selection for osteoarthritis clinical trials: the IMI-APPROACH study.
Pawel Widera et al. Osteoarthr Cartil Open 2023 5(4) 100406
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Machine Learning Approaches to the Prediction of Osteoarthritis Phenotypes and Outcomes.
Liubov Arbeeva et al. Curr Rheumatol Rep 2023
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Precision medicine-based machine learning analyses to explore optimal exercise therapies for individuals with knee osteoarthritis: Random Forest Informed Tree-based Learning.
Siyeon Kim et al. J Rheumatol 2023
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AI aided workflow for hip dysplasia screening using ultrasound in primary care clinics.
Jacob L Jaremko et al. Sci Rep 2023 13(1) 9224
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Prescription Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) and Incidence of Depression Among Older Cancer Survivors With Osteoarthritis: A Machine Learning Analysis.
Nazneen Fatima Shaikh et al. Cancer Inform 2023 2211769351231165161
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Gait, physical activity and tibiofemoral cartilage damage: a longitudinal machine learning analysis in the Multicenter Osteoarthritis Study.
Kerry E Costello et al. British journal of sports medicine 2023
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Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study
MA Boswell et al, NPJ Digital Medicine, March 4, 2023
Predicting total knee replacement at 2 and 5 years in osteoarthritis patients using machine learning.
Khadija Mahmoud et al. BMJ surgery, interventions, & health technologies 2023 5(1) e000141
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Prediction Models for Knee Osteoarthritis: Review of Current Models and Future Directions.
Taghi Ramazanian et al. The archives of bone and joint surgery 2023 11(1) 1-11
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An AI-based patient-specific clinical decision support system for OA patients choosing surgery or not: study protocol for a single-centre, parallel-group, non-inferiority randomised controlled trial.
Kastrup Nanna et al. Trials 2023 24(1) 24
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Artificial intelligence-based volumetric analysis of muscle atrophy and fatty degeneration in patients with hip osteoarthritis and its correlation with health-related quality of life.
Iwasa Makoto et al. International journal of computer assisted radiology and surgery 2022
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Predicting Depression in Patients With Knee Osteoarthritis Using Machine Learning: Model Development and Validation Study.
Nowinka Zuzanna et al. JMIR formative research 2022 6(9) e36130
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Emerging Applications of Deep Learning in Bone Tumors: Current Advances and Challenges.
Zhou Xiaowen et al. Frontiers in oncology 2022 12908873
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Predicting osteoarthritis in adults using statistical data mining and machine learning.
Bertoncelli Carlo M et al. Therapeutic advances in musculoskeletal disease 2022 141759720X221104935
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Multimodal Magnetic Resonance Imaging to Diagnose Knee Osteoarthritis under Artificial Intelligence.
Zheng Zhiyan et al. Computational intelligence and neuroscience 2022 20226488889
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Predicted and actual 2-year structural and pain progression in the IMI-APPROACH knee osteoarthritis cohort.
van Helvoort Eefje M et al. Rheumatology (Oxford, England) 2022
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TMJOAI: An Artificial Web-Based Intelligence Tool for Early Diagnosis of the Temporomandibular Joint Osteoarthritis.
Le Celia et al. Clinical image-based procedures, distributed and collaborative learning, artificial intelligence for combating COVID-19 and secure and privacy-preserving machine learning : 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Work... 2022 1296978-87
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Automatic diagnosis and grading of patellofemoral osteoarthritis from the axial radiographic view: a deep learning-based approach.
Tuya E et al. Acta radiologica (Stockholm, Sweden : 1987) 2022 2841851221092164
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Automatic detection and classification of knee osteoarthritis using deep learning approach.
Abdullah S Sheik et al. La Radiologia medica 2022
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Exploiting real-world data to monitor physical activity in patients with osteoarthritis: the opportunity of digital epidemiology.
Ravalli Silvia et al. Heliyon 2022 8(2) e08991
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Improved Deep Convolutional Neural Network to Classify Osteoarthritis from Anterior Cruciate Ligament Tear Using Magnetic Resonance Imaging.
Awan Mazhar Javed et al. Journal of personalized medicine 2021 11(11)
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Automated Risk Stratification of Hip Osteoarthritis Development in Patients With Femoroacetabular Impingement Using an Unsupervised Clustering Algorithm: A Study From the Rochester Epidemiology Project.
Ko Sunho et al. Orthopaedic journal of sports medicine 2021 9(11) 23259671211050613
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AI MSK clinical applications: cartilage and osteoarthritis.
Joseph Gabby B et al. Skeletal radiology 2021
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Towards novel osteoarthritis biomarkers: Multi-criteria evaluation of 46,996 segmented knee MRI data from the Osteoarthritis Initiative.
Tack Alexander et al. PloS one 2021 16(10) e0258855
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A Deep Learning Model to Predict Knee Osteoarthritis Based on Nonimage Longitudinal Medical Record.
Ningrum Dina Nur Anggraini et al. Journal of multidisciplinary healthcare 2021 142477-2485
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A warning machine learning algorithm for early knee osteoarthritis structural progressor patient screening.
Bonakdari Hossein et al. Therapeutic advances in musculoskeletal disease 2021 131759720X21993254
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Comparison of an Artificial Intelligence–Enabled Patient Decision Aid vs Educational Material on Decision Quality, Shared Decision-Making, Patient Experience, and Functional Outcomes in Adults With Knee Osteoarthritis A Randomized Clinical Trial
P Jayakumar et al, JAMA Network Open, February 2021
Comparison of an Artificial Intelligence-Enabled Patient Decision Aid vs Educational Material on Decision Quality, Shared Decision-Making, Patient Experience, and Functional Outcomes in Adults With Knee Osteoarthritis: A Randomized Clinical Trial.
Jayakumar Prakash et al. JAMA network open 2021 Feb 4(2) e2037107
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A Machine Learning Approach to Identify Predictors of Potentially Inappropriate Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) Use in Older Adults with Osteoarthritis.
Patel Jayeshkumar et al. International journal of environmental research and public health 2020 Dec 18(1)
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 19, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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