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Editorial
. 2022 Mar;302(3):637-638.
doi: 10.1148/radiol.212364. Epub 2021 Dec 21.

Using AI to Improve Radiographic Fracture Detection

Thomas M Link  1 , Valentina Pedoia  1
Affiliations
Editorial

Using AI to Improve Radiographic Fracture Detection

Thomas M Link et al. Radiology. 2022 Mar.
No abstract available

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Conflict of interest statement

Disclosures of conflicts of interest: T.M.L. Vice-editor of Skeletal Radiology; editorial board member of Radiology, Osteoarthritis and Cartilage, Current Radiology Reports, and European Radiology and Osteoarthritis Imaging. V.P. Editorial board member of Radiology.

Figures

Dr Link is a professor of radiology at UCSF, chief of musculoskeletal imaging, and clinical director of the Musculoskeletal and Quantitative Imaging Research Group. Dr Link is vice-editor of Skeletal Radiology and serves on the Editorial Board of Radiology. Dr Link’s research focuses on imaging of osteoporosis, osteoarthritis, and artificial intelligence. He is a fellow of the ISMRM, serves on NIH study sections, and is principal investigator for two NIH grants.
Dr Link is a professor of radiology at UCSF, chief of musculoskeletal imaging, and clinical director of the Musculoskeletal and Quantitative Imaging Research Group. Dr Link is vice-editor of Skeletal Radiology and serves on the Editorial Board of Radiology. Dr Link’s research focuses on imaging of osteoporosis, osteoarthritis, and artificial intelligence. He is a fellow of the ISMRM, serves on NIH study sections, and is principal investigator for two NIH grants.
Dr Pedoia is an assistant professor of radiology and co-director of the education pillar of the Center of Intelligent Imaging (Ci2) at UCSF. Dr Pedoia serves on the Editorial Board of Radiology. Dr Pedoia’s research focuses on exploring the role of machine learning to extract imaging biomarkers of osteoarthritis, shoulder instability, and lower back pain. Dr Pedoia serves on NIH study sections, and she is principal investigator for three NIH grants.
Dr Pedoia is an assistant professor of radiology and co-director of the education pillar of the Center of Intelligent Imaging (Ci2) at UCSF. Dr Pedoia serves on the Editorial Board of Radiology. Dr Pedoia’s research focuses on exploring the role of machine learning to extract imaging biomarkers of osteoarthritis, shoulder instability, and lower back pain. Dr Pedoia serves on NIH study sections, and she is principal investigator for three NIH grants.
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References

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