TY - JOUR
T1 - A Stepwise Approach to Analyzing Musculoskeletal Imaging Data With Artificial Intelligence
AU - Mickley, John P.
AU - Grove, Austin F.
AU - Rouzrokh, Pouria
AU - Yang, Linjun
AU - Larson, A. Noelle
AU - Sanchez-Sotello, Joaquin
AU - Maradit Kremers, Hilal
AU - Wyles, Cody C.
N1 - Publisher Copyright:
© 2023 American College of Rheumatology.
PY - 2023
Y1 - 2023
N2 - The digitization of medical records and expanding electronic health records has created an era of “Big Data” with an abundance of available information ranging from clinical notes to imaging studies. In the field of rheumatology, medical imaging is used to guide both diagnosis and treatment of a wide variety of rheumatic conditions. Although there is an abundance of data to analyze, traditional methods of image analysis are human resource intensive. Fortunately, the growth of artificial intelligence (AI) may be a solution to handle large datasets. In particular, computer vision is a field within AI that analyzes images and extracts information. Computer vision has impressive capabilities and can be applied to rheumatologic conditions, necessitating a need to understand how computer vision works. In this article, we provide an overview of AI in rheumatology and conclude with a five step process to plan and conduct research in the field of computer vision. The five steps include (1) project definition, (2) data handling, (3) model development, (4) performance evaluation, and (5) deployment into clinical care.
AB - The digitization of medical records and expanding electronic health records has created an era of “Big Data” with an abundance of available information ranging from clinical notes to imaging studies. In the field of rheumatology, medical imaging is used to guide both diagnosis and treatment of a wide variety of rheumatic conditions. Although there is an abundance of data to analyze, traditional methods of image analysis are human resource intensive. Fortunately, the growth of artificial intelligence (AI) may be a solution to handle large datasets. In particular, computer vision is a field within AI that analyzes images and extracts information. Computer vision has impressive capabilities and can be applied to rheumatologic conditions, necessitating a need to understand how computer vision works. In this article, we provide an overview of AI in rheumatology and conclude with a five step process to plan and conduct research in the field of computer vision. The five steps include (1) project definition, (2) data handling, (3) model development, (4) performance evaluation, and (5) deployment into clinical care.
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U2 - 10.1002/acr.25260
DO - 10.1002/acr.25260
M3 - Article
C2 - 37849415
AN - SCOPUS:85179980925
SN - 2151-464X
JO - Arthritis Care and Research
JF - Arthritis Care and Research
ER -