Artificial intelligence in fracture detection: a systematic review and meta-analysis

RYL Kuo, C Harrison, TA Curran, B Jones, A Freethy… - Radiology, 2022 - pubs.rsna.org
Background Patients with fractures are a common emergency presentation and may be
misdiagnosed at radiologic imaging. An increasing number of studies apply artificial …

Risk assessment tools for osteoporosis and fractures in 2022

JJ Carey, PCH Wu, D Bergin - Best Practice & Research Clinical …, 2022 - Elsevier
Osteoporosis is one of the frequently encountered non-communicable diseases in the world
today. Several hundred million people have osteoporosis, with many more at risk. The …

Using artificial intelligence to diagnose osteoporotic vertebral fractures on plain radiographs

L Shen, C Gao, S Hu, D Kang, Z Zhang… - Journal of Bone and …, 2023 - academic.oup.com
Osteoporotic vertebral fracture (OVF) is a risk factor for morbidity and mortality in elderly
population, and accurate diagnosis is important for improving treatment outcomes. OVF …

[HTML][HTML] Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning

CI Hsieh, K Zheng, C Lin, L Mei, L Lu, W Li… - Nature …, 2021 - nature.com
Dual-energy X-ray absorptiometry (DXA) is underutilized to measure bone mineral density
(BMD) and evaluate fracture risk. We present an automated tool to identify fractures, predict …

[HTML][HTML] Deep learning for bone mineral density and T-score prediction from chest X-rays: A multicenter study

Y Sato, N Yamamoto, N Inagaki, Y Iesaki, T Asamoto… - Biomedicines, 2022 - mdpi.com
Although the number of patients with osteoporosis is increasing worldwide, diagnosis and
treatment are presently inadequate. In this study, we developed a deep learning model to …

A comprehensive analysis of artificial intelligence techniques for the prediction and prognosis of lifestyle diseases

K Modi, I Singh, Y Kumar - Archives of Computational Methods in …, 2023 - Springer
Artificial intelligence is the fastest growing data-driven technology and is currently used in all
major fields and reduces the work of humans. Artificial intelligence can analyse extensive …

[HTML][HTML] Understanding the role and adoption of artificial intelligence techniques in rheumatology research: an in-depth review of the literature

A Madrid-García, B Merino-Barbancho… - Seminars in Arthritis and …, 2023 - Elsevier
The major and upward trend in the number of published research related to rheumatic and
musculoskeletal diseases, in which artificial intelligence plays a key role, has exhibited the …

Automatic segmentation and radiomic texture analysis for osteoporosis screening using chest low-dose computed tomography

YC Chen, YT Li, PC Kuo, SJ Cheng, YH Chung… - European …, 2023 - Springer
Objective This study developed a diagnostic tool combining machine learning (ML)
segmentation and radiomic texture analysis (RTA) for bone density screening using chest …

Naringin improves osteoblast mineralization and bone healing and strength through regulating estrogen receptor alpha-dependent alkaline phosphatase gene …

GJ Wu, KY Chen, JD Yang, SH Liu… - Journal of Agricultural …, 2021 - ACS Publications
Phytoestrogens are strongly recommended for treating osteoporosis. Our previous study
showed that naringin, a citrus flavonoid, can enhance the bone mass in ovariectomized rats …

[HTML][HTML] Osteoporosis screening using machine learning and electromagnetic waves

GA Albuquerque, DDA Carvalho, AS Cruz… - Scientific Reports, 2023 - nature.com
Osteoporosis is a disease characterized by impairment of bone microarchitecture that
causes high socioeconomic impacts in the world because of fractures and hospitalizations …