The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things

S Aminizadeh, A Heidari, S Toumaj, M Darbandi… - Computer methods and …, 2023 - Elsevier
Medical data processing has grown into a prominent topic in the latest decades with the
primary goal of maintaining patient data via new information technologies, including the …

Cancer treatment and toxicity outlook of nanoparticles

M Sharma, P Thakur, P Gaur, GM Rani, S Rustagi… - Environmental …, 2023 - Elsevier
Diversified nanosystems with tunable physicochemical attributes have emerged as potential
solution to globally devastating cancer by offering novel possibilities for improving the …

Interactive medical image annotation using improved Attention U-net with compound geodesic distance

Y Zhang, J Chen, X Ma, G Wang, UA Bhatti… - Expert systems with …, 2024 - Elsevier
Accurate and massive medical image annotation data is crucial for diagnosis, surgical
planning, and deep learning in the development of medical images. However, creating large …

The influence of sac centreline on saccular aneurysm rupture: Computational study

H Jiang, Z Lu, MB Gerdroodbary, A Sabernaeemi… - Scientific Reports, 2023 - nature.com
The geometric characteristics of a saccular aneurysm play a crucial role in its rupturing. This
article thoroughly investigates the impact of the sac centerline on aneurysm rupture, with a …

Breast cancer diagnosis using evolving deep convolutional neural network based on hybrid extreme learning machine technique and improved chimp optimization …

L Qian, J Bai, Y Huang, DQ Zeebaree, A Saffari… - … Signal Processing and …, 2024 - Elsevier
Today, diagnostic systems based on artificial intelligence play a significant role in confirming
doctors' recommendations. These systems are becoming effective tools in clinical treatment …

Heart failure patients monitoring using IoT-based remote monitoring system

M Umer, T Aljrees, H Karamti, A Ishaq, S Alsubai… - Scientific Reports, 2023 - nature.com
Intelligent health monitoring systems are becoming more important and popular as
technology advances. Nowadays, online services are replacing physical infrastructure in …

Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service

S Aminizadeh, A Heidari, M Dehghan, S Toumaj… - Artificial Intelligence in …, 2024 - Elsevier
The healthcare sector, characterized by vast datasets and many diseases, is pivotal in
sha** community health and overall quality of life. Traditional healthcare methods, often …

[HTML][HTML] Vascular endothelial growth factor (VEGF) delivery approaches in regenerative medicine

N Beheshtizadeh, M Gharibshahian, M Bayati… - Biomedicine & …, 2023 - Elsevier
The utilization of growth factors in the process of tissue regeneration has garnered
significant interest and has been the subject of extensive research. However, despite the …

An overview of selective laser sintering 3D printing technology for biomedical and sports device applications: Processes, materials, and applications

Y Song, Y Ghafari, A Asefnejad, D Toghraie - Optics & Laser Technology, 2024 - Elsevier
Over the past couple of years, 3D printing has emerged as an increasingly powerful
manufacturing platform in medical engineering. These technologies have greatly enhanced …

Brain tumor classification from MRI using image enhancement and convolutional neural network techniques

Z Rasheed, YK Ma, I Ullah, YY Ghadi, MZ Khan… - Brain Sciences, 2023 - mdpi.com
The independent detection and classification of brain malignancies using magnetic
resonance imaging (MRI) can present challenges and the potential for error due to the …