Skeletal Radiology
Displaying 1 - 10 of 10
O’Rourke, S., Xu, S., Carrero, S., Drebin, H. M., Felman, A., Ko, A., Misseldine, A., Mouchtaris, S. G., Musialowicz, B., Wong, T. T., & Zech, J. R. (2025). AI as teacher: effectiveness of an AI-based training module to improve trainee pediatric fracture detection. Skeletal Radiology. https://doi.org/10.1007/s00256-025-04927-0
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Dragon, J. M., Santos, L., Fennoy, I., Jambawalikar, S. R., & Jaramillo, D. (2024). Diffusion tensor imaging shows increased physis organization after growth hormone initiation in hypophosphatasia. Skeletal Radiology. https://doi.org/10.1007/s00256-024-04767-4
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Columbia Affiliation
Zech, J. R., Ezuma, C. O., Patel, S., Edwards, C. R., Posner, R., Hannon, E., Williams, F., Lala, S. V., Ahmad, Z. Y., Moy, M. P., & Wong, T. T. (2024). Artificial intelligence improves resident detection of pediatric and young adult upper extremity fractures. Skeletal Radiology. https://doi.org/10.1007/s00256-024-04698-0
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Columbia Affiliation
Bedoya, M. A., Jaramillo, D., Iwasaka-Neder, J., & Laor, T. (2024). Stressed or fractured: MRI differentiating indicators of physeal injury. Skeletal Radiology. https://doi.org/10.1007/s00256-024-04670-y
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Columbia Affiliation
Tran, C. V., Yang, H. R., Ahmad, Z. Y., Utukuri, P. S., Quarterman, P., Fung, M., Lignelli, A., & Wong, T. T. (2023). Utility of Zero-Echo time sequence as an adjunct for MR evaluation of degenerative disease in the cervical spine. Skeletal Radiology, 53(5), 899–908. https://doi.org/10.1007/s00256-023-04507-0
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Columbia Affiliation
Varada, S. L., Wong, T. T., Popkin, C. A., & Jaramillo, D. (2023). Acute patellar dislocation: how skeletal maturity affects patterns of injury. Skeletal Radiology, 53(3), 499–506. https://doi.org/10.1007/s00256-023-04446-w
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Columbia Affiliation
Edwards, C. R., Ahmad, Z. Y., Vosseller, J. T., Moy, M. P., & Wong, T. T. (2023). First MTP joint injuries: MR imaging findings in surgically managed patients. Skeletal Radiology, 52(9), 1729–1738. https://doi.org/10.1007/s00256-023-04327-2
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Brewer-Hofmann, A., Sajjad, S., Bekheet, Z., Moy, M. P., & Wong, T. T. (2023). Factors influencing patient understanding of information on radiology examinations. Skeletal Radiology, 52(8), 1503–1509. https://doi.org/10.1007/s00256-023-04301-y
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Columbia Affiliation
Zech, J. R., Carotenuto, G., & Jaramillo, D. (2022). Inferring pediatric knee skeletal maturity from MRI using deep learning. Skeletal Radiology, 51(8), 1671–1677. https://doi.org/10.1007/s00256-022-04010-y
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Columbia Affiliation
Ren, M., & Yi, P. H. (2021). Artificial intelligence in orthopedic implant model classification: a systematic review. Skeletal Radiology, 51(2), 407–416. https://doi.org/10.1007/s00256-021-03884-8
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Columbia Affiliation