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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Last data update: Jul 05, 2022. (Total: 48041 Documents since 2012)
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Records 1 - 21 (of 21 Records)

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Deep Learning Classification of Spinal Osteoporotic Compression Fractures on Radiographs using an Adaptation of the Genant Semiquantitative Criteria.
Dong Qifei et al. Academic radiology 2022
Conceptual design of the dual X-ray absorptiometry health informatics prediction system for osteoporosis care.
E Erjiang et al. Health informatics journal 2022 28(1) 14604582211066465
Fully automated radiomic screening pipeline for osteoporosis and abnormal bone density with a deep learning-based segmentation using a short lumbar mDixon sequence.
Zhao Yinxia et al. Quantitative imaging in medicine and surgery 2022 12(2) 1198-1213
Applications of Machine Learning in Bone and Mineral Research.
Kong Sung Hye et al. Endocrinology and metabolism (Seoul, Korea) 2021
Application of deep learning neural network in predicting bone mineral density from plain X-ray radiography.
Ho Chan-Shien et al. Archives of osteoporosis 2021 16(1) 153
Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening.
Adams Johnathan W et al. IEEE journal of translational engineering in health and medicine 2021 94900907
Detecting pathological features and predicting fracture risk from dual-energy X-ray absorptiometry images using deep learning.
Nissinen Tomi et al. Bone reports 2021 14101070
Prediction of femoral osteoporosis using machine-learning analysis with radiomics features and abdomen-pelvic CT: A retrospective single center preliminary study.
Lim Hyun Kyung et al. PloS one 2021 16(3) e0247330
Deep Learning for Osteoporosis Classification Using Hip Radiographs and Patient Clinical Covariates.
Yamamoto Norio et al. Biomolecules 2020 Nov 10(11)
Integration of a vertebral fracture identification service into a fracture liaison service: a quality improvement project.
Ong T et al. Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA 2020 Nov
Applications of Artificial Intelligence in Musculoskeletal Imaging: From the Request to the Report.
Gorelik Natalia et al. Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes 2020 Aug 846537120947148
Practical Vitamin D Supplementation Using Machine Learning.
Fugere Tyler et al. Journal of bone metabolism 2020 May 27(2) 111-117
Association of Urinary and Blood Concentrations of Heavy Metals with Measures of Bone Mineral Density Loss: a Data Mining Approach with the Results from the National Health and Nutrition Examination Survey.
Ximenez João Paulo B et al. Biological trace element research 2020 Apr
Deep Learning Based High-Resolution Reconstruction of Trabecular Bone Microstructures from Low-Resolution CT Scans using GAN-CIRCLE.
Guha Indranil et al. Proceedings of SPIE--the International Society for Optical Engineering 2020 Feb 11317
Evaluation of Transfer Learning with Deep Convolutional Neural Networks for Screening Osteoporosis in Dental Panoramic Radiographs.
Lee Ki-Sun et al. Journal of clinical medicine 2020 Feb 9(2)
Radiomics for classification of bone mineral loss: A machine learning study.
Rastegar S et al. Diagnostic and interventional imaging 2020 Feb
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records.
Wang Yanshan et al. Journal of biomedical informatics 2019 Dec 103364
Prediction of lumbar vertebral strength of elderly men based on quantitative computed tomography images using machine learning.
Zhang M et al. Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA 2019 Aug
The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review.
Hung Kuofeng et al. Dento maxillo facial radiology 2019 Aug 20190107
The New Possibilities from "Big Data" to Overlooked Associations Between Diabetes, Biochemical Parameters, Glucose Control, and Osteoporosis.
Kruse Christian et al. Current osteoporosis reports 2018 16(3) 320-324
Artificial intelligence, osteoporosis and fragility fractures.
Ferizi Uran et al. Current opinion in rheumatology 2019 Apr
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