Last Posted: May 30, 2024
- Outdoor walking, genetic predisposition, and the risk of incident osteoporosis among older adults: A prospective large population-based cohort study.
Yu-Shan Yue et al. Osteoporos Int 2024 - Application of Artificial Intelligence Methods on Osteoporosis Classification with Radiographs-A Systematic Review.
Ren Wei Liu et al. Bioengineering (Basel) 2024 11(5) - Artificial intelligence insights into osteoporosis: assessing ChatGPT's information quality and readability.
Yakup Erden et al. Arch Osteoporos 2024 19(1) 17 - Genome-wide association study of osteoporosis identifies genetic risk and interactions with DASH diet and sugar sweetened beverages in a Hispanic cohort of older adults.
Liam E Fouhy et al. J Bone Miner Res 2024 - Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data.
Jun-Bo Tu et al. Sci Rep 2024 14(1) 5245 - Evaluation of deep learning-based quantitative computed tomography for opportunistic osteoporosis screening.
Sangseok Oh et al. Sci Rep 2024 14(1) 363 - Development and testing of patient-centered education about hormone replacement therapy for women at high genetic risk of breast and ovarian cancer.
Katherine N Penvose et al. Gynecol Oncol 2023 18191-98 - A diagnostic approach integrated multimodal radiomics with machine learning models based on lumbar spine CT and X-ray for osteoporosis.
Liwei Cheng et al. J Bone Miner Metab 2023 - Osteoporosis Prediction Using Machine-Learned Optical Bone Densitometry Data.
Kaname Miura et al. Ann Biomed Eng 2023 - Applications of Artificial Intelligence Methods for the Prediction of Osteoporotic Fractures.
Dorota Lis-Studniarska et al. Life (Basel) 2023 13(8)
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Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.