Artificial intelligence on the identification of risk groups for osteoporosis, a general review

AS Cruz, HC Lins, RVA Medeiros, JMF Filho… - Biomedical engineering …, 2018 - Springer
Introduction The goal of this paper is to present a critical review on the main systems that
use artificial intelligence to identify groups at risk for osteoporosis or fractures. The systems …

A proactive model to predict osteoporosis: An artificial immune system approach

K Periasamy, S Periasamy, S Velayutham… - Expert …, 2022 - Wiley Online Library
Osteoporosis disease is caused by hormonal changes, vitamin D, and calcium deficiency.
With current technologies, the identification of osteoporosis requires many tests with the …

Oriented fractal analysis for improved bone microarchitecture characterization

K Harrar, R Jennane, K Zaouchi, T Janvier… - … Signal Processing and …, 2018 - Elsevier
Trabecular bone microarchitecture and bone mineral density (BMD) are two main factors
related to osteoporotic fractures. Currently, however, microarchitecture is not evaluated in …

[HTML][HTML] Diagnosis of osteoporosis using intelligence of optimized extreme learning machine with improved artificial algae algorithm

D Devikanniga - International Journal of Intelligent Networks, 2020 - Elsevier
Osteoporosis is the silent killer disease that mostly occur in elderly people because of bone
fragility and fracture. Early and accurate diagnosis of osteoporosis saves the patient life. This …

Deep transfer learning and majority voting approaches for osteoporosis classification

MM Ashames, M Ceylan, R Jennane - International Journal of …, 2021 - gcris.ktun.edu.tr
Osteoporosis is a systemic skeletal disease characterized by low bone mass density and
deterioration of the micro-architectural structure of the bone tissue, increasing bone fragility …

[PDF][PDF] Presenting a Model for Detecting Osteoporosis In Active Older Men Using the Support Vector Machine Algorithm

L Fasihi, B Tartibian, R Eslami - The Scientific Journal of …, 2022 - researchgate.net
Methods This is a development-applied study. Medical data of 652 patients were first
examined. Of these, 108 active older men were selected including 58 healthy men, 33 with …

Measurement of ultrasound parameters of bovine cancellous bone as a function of frequency for a range of porosities via through-transmission ultrasonic …

A Karki, J Wu - Acoustics, 2022 - mdpi.com
The relationship between ultrasonic parameters (attenuation coefficients and velocity) and
bone porosity in bovine cancellous bone is explored to understand the possibility of fracture …

[PDF][PDF] Derin öğrenme yöntemleri kullanılarak osteoporozun belirlenmesi

MMA Ashames - 2020 - gcris.ktun.edu.tr
Osteoporoz, düşük kemik mineral yoğunluğu ile karakterize edilen en yaygın kronik kemik
hastalığıdır. Dual Enerji X-Işını Absorbsiyometrisi (DEXA) taraması, kemik mineral …

Early Detection of Osteoporosis and Osteopenia Disease Using Computational Intelligence Techniques

T Ramesh, V Santhi - Computational Intelligence in Healthcare Informatics, 2024 - Springer
People are now more frequently affected by the disorders of osteoporosis and osteopenia.
Food habits and genetics have been recognized as the main contributing factors; hence …

Osseus: método baseado em inteligência artificial e ondas eletromagnéticas para o diagnóstico auxiliar de doenças osteometabólicas

AS Cruz - 2018 - bdtd.ibict.br
Chamada comumente de doença silenciosa, a osteoporose é uma doença osteometabólica
sistêmica, caracterizada por baixa densidade mineral óssea (DMO), comprometendo a …