Evolution in fracture risk assessment: artificial versus augmented intelligence
- 7 January 2021
- journal article
- editorial
- Published by Springer Science and Business Media LLC in Osteoporosis International
- Vol. 32 (2), 209-212
- https://doi.org/10.1007/s00198-020-05737-x
Abstract
No abstract availableThis publication has 19 references indexed in Scilit:
- Machine Learning Model to Predict Osteoporotic Spine with Hounsfield Units on Lumbar Computed TomographyJournal of Korean Neurosurgical Society, 2019
- A Novel Morphological Analysis of DXA-DICOM Images by Artificial Neural Networks for Estimating Bone Mineral Density in Health and DiseaseJournal of Clinical Densitometry, 2019
- Artificial neural network optimizes self-examination of osteoporosis risk in womenJournal of International Medical Research, 2019
- Machine Learning in MedicineThe New England Journal of Medicine, 2019
- Computer-aided osteoporosis detection from DXA imagingComputer Methods and Programs in Biomedicine, 2019
- Questions for Artificial Intelligence in Health CareJAMA, 2019
- Big Data and Machine Learning in Health CareJAMA, 2018
- Overview of Fracture Prediction ToolsJournal of Clinical Densitometry, 2017
- Deep learningNature, 2015
- Spleen imaging.1983