Machine learning algorithms for diagnosis of hip bone osteoporosis: a systematic review and meta-analysis study

F Rahim, A Zaki Zadeh, P Javanmardi… - BioMedical Engineering …, 2023 - Springer
Background Osteoporosis is a significant health problem in the skeletal system, associated
with bone tissue changes and its strength. Machine Learning (ML), on the other hand, has …

Development and reporting of artificial intelligence in osteoporosis management

G Gatineau, E Shevroja, C Vendrami… - Journal of Bone and …, 2024 - academic.oup.com
An abundance of medical data and enhanced computational power have led to a surge in
artificial intelligence (AI) applications. Published studies involving AI in bone and …

The classification algorithms to support the management of the patient with femur fracture

A Scala, TA Trunfio, G Improta - BMC Medical Research Methodology, 2024 - Springer
Effectiveness in health care is a specific characteristic of each intervention and outcome
evaluated. Especially with regard to surgical interventions, organization, structure and …

Artificial intelligence in fracture detection with different image modalities and data types: A systematic review and meta-analysis

J Jung, J Dai, B Liu, Q Wu - PLOS Digital Health, 2024 - journals.plos.org
Artificial Intelligence (AI), encompassing Machine Learning and Deep Learning, has
increasingly been applied to fracture detection using diverse imaging modalities and data …

Enterprise risk assessment based on machine learning

B Huang, J Wei, Y Tang, C Liu - Computational Intelligence and …, 2021 - Wiley Online Library
Scientific risk assessment is an important guarantee for the healthy development of an
enterprise. With the continuous development and maturity of machine learning technology, it …

[HTML][HTML] Machine learning applications for the prediction of extended length of stay in geriatric hip fracture patients

CW Tian, XX Chen, L Shi, HY Zhu, GC Dai… - World Journal of …, 2023 - ncbi.nlm.nih.gov
BACKGROUND Geriatric hip fractures are one of the most common fractures in elderly
individuals, and prolonged hospital stays increase the risk of death and complications …

Prediction of intraoperative press-fit stability of the acetabular cup in total hip arthroplasty using radiomics-based machine learning models

B He, X Zhang, S Peng, D Zeng, H Chen… - European Journal of …, 2024 - Elsevier
Background Preoperative prediction of the acetabular cup press-fit stability in total hip
arthroplasty is necessary for clinical decision-making. This study aims to establish and …

AI algorithms for accurate prediction of osteoporotic fractures in patients with diabetes: an up-to-date review

Z Li, W Zhao, X Lin, F Li - Journal of Orthopaedic Surgery and Research, 2023 - Springer
Osteoporotic fractures impose a substantial burden on patients with diabetes due to their
unique characteristics in bone metabolism, limiting the efficacy of conventional fracture …

Fracture risk of long bone metastases: a review of current and new decision-making tools for prophylactic surgery

MV Nguyễn, C Carlier, C Nich, F Gouin, V Crenn - Cancers, 2021 - mdpi.com
Simple Summary Long bone metastases are frequently a pivotal point in the oncological
history of patients. Weakening of the bone results in pathologic fractures that not only …

Human resource planning and configuration based on machine learning

S Yuan, Q Qi, E Dai, Y Liang - Computational Intelligence and …, 2022 - Wiley Online Library
Human resources are the core resources of an enterprise, and the demand forecasting plays
a vital role in the allocation and optimization of human resources. Starting from the basic …