
Osteoarthritis Initiative
Collaborative Osteoarthritis
Research Enterprise
Knowledgebase
Updates
Welcome to the OAI CORE Knowledgebase
We're ready to assist you with any questions or help you may have regarding the OAI. Contact us through our Engagement Services.
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New: Step-by-Step Guide to Using OAI Data
What's coming?
- OAI Explorer - Search OAI data variables and conduct basic descriptive analyses
- OAI Biospecimen Database - Check availability of biospecimen in the OAI
- OAI Connector - Find and collaborate with other investigators using the OAI
- OAI Learning Lab - Downloadable datasets to support lecturers in teaching challenging analytical techniques
OAI.Edu Webinar Schedule
Septeber 14 – Shao-Hsien Liu
Causal Inference Modeling in the OAI
October 19 – Pamela Semanik
OAI Accelerometry Data
November 16 – David Felson & Michael Nevitt
Radiographs in the OAI
December 14 – Jeffrey Duryea
JSW and FTA measurements in the OAI
January 11 – C. Kent Kwoh
The OAI After 96 Months
February 8 – Kate Lapane
OAI Medication Inventory
Other Resources
Musculoskeletal Knowledge Portal (MSKKP)
A genomic data mining platform aimed at accelerating discoveries for musculoskeletal traits and diseases
Recent Publications
Pishgar F, Mirghaderi P, Alipour E, Mahmoudian A, Kiadaliri A, Yuan C, Balu N, Guermazi A, Chalian M. Associations of Popliteal Artery Wall Morphology at MRI and Knee Osteoarthritis in the Osteoarthritis Initiative. Radiology.
Sourougeon Y, Nesher G, Apterman S, Barzilai Y, Balaziano S, Ben-Zoor I, Bessler D, Friedlander A, Thein R. Continuous multi-domain phenotyping of knee osteoarthritis identifies independent structural and symptom axes and clinically invisible subgroups at elevated arthroplasty risk. Osteoarthritis Cartilage.
Sanogo M, Gao F, Littlefield N, Siddiqui IA, Carlson LA, Rezaei A, Bodanki P, Menezes Z, Kanda A, Abedian M, Mastorakos GM, Kann MR, Amirian S, Agharazidermani M, Sarkheyli-Hägele A, Harshman K, Myers N, Maradit Kremers H, Irrgang JJ, McGrory BJ, Yates AJ, Plate JF, Tafti AP. KneeXNet-2.5D: a clinically-oriented and explainable deep learning framework for MRI-based knee cartilage and meniscus segmentation. Npj Health Syst.
