Author:
Xue Linyan,Qin Geng,Chang Shilong,Luo Cheng,Hou Ya,Xia Zhiyin,Yuan Jiacheng,Wang Yucheng,Liu Shuang,Liu Kun,Li Xiaoting,Wu Sibei,Zhao Qingliang,Gao Wenshan,Yang Kun
Subject
Artificial Intelligence,Medicine (miscellaneous)
Reference27 articles.
1. T. Sozen, L. Ozisik, and N. Calik Basaran, “An overview and management of osteoporosis,” European Journal of Rheumatology, vol. 4, no. 1, pp. 46–56, Mar. 2017, doi:https://doi.org/10.5152/eurjrheum.2016.048.
2. E. M. Curtis, R. J. Moon, N. C. Harvey, and C. Cooper, “The impact of fragility fracture and approaches to osteoporosis risk assessment worldwide,” Bone, vol. 104, pp. 29–38, Nov. 2017, doi:https://doi.org/10.1016/j.bone.2017.01.024.
3. A meta-analysis of the diagnostic accuracy of Hounsfield units on computed topography relative to dual-energy X-ray absorptiometry for the diagnosis of osteoporosis in the spine surgery population;Ahern;Spine Journal,2021
4. Detection and prediction of osteoporosis using impulse response technique and artificial neural network;Tejaswini;2016 International Conference on Advances in Computing, Communications and Informatics, ICACCI,2016
5. M. Shioji, T. Yamamoto, T. Ibata, T. Tsuda, K. Adachi, and N. Yoshimura, “Artificial neural networks to predict future bone mineral density and bone loss rate in Japanese postmenopausal women,” BMC Res Notes, vol. 10, no. 1, Nov. 2017, doi:https://doi.org/10.1186/s13104-017-2910-4.
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