Application of deep learning for prediction of alzheimer's disease in PET/MR imaging

Y Zhao, Q Guo, Y Zhang, J Zheng, Y Yang, X Du… - Bioengineering, 2023 - mdpi.com
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects millions of
people worldwide. Positron emission tomography/magnetic resonance (PET/MR) imaging is …

AI for detection, classification and prediction of loss of alignment of distal radius fractures; a systematic review

KD Oude Nijhuis, LHM Dankelman, JP Wiersma… - European Journal of …, 2024 - Springer
Purpose Early and accurate assessment of distal radius fractures (DRFs) is crucial for
optimal prognosis. Identifying fractures likely to lose threshold alignment (instability) in a cast …

Lsnet: a novel cnn architecture to identify wrist fracture from a small x-ray dataset

T Anwar, H Anwar - International Journal of Information Technology, 2023 - Springer
Accurate classification of bone fractures from medical images plays a crucial role in effective
treatment and patient care, particularly in the case of wrist X-rays. However, the limited …

Wrist crack classification using deep learning and X-ray imaging

B Senapati, AB Naeem, MI Ghafoor, V Gulaxi… - … on Advances in …, 2024 - Springer
Wrist cracks are the most prevalent kind of crack and have a high incidence rate. Although
wrist cracks are often identified with X-ray medical imaging, the portrayal of cracks may …

[HTML][HTML] Artificial Intelligence in Emergency Trauma Care: A Preliminary Scoping Review

CAI Ventura, EE Denton, JA David - Medical Devices (Auckland, NZ …, 2024 - ncbi.nlm.nih.gov
This study aimed to analyze the use of generative artificial intelligence in the emergency
trauma care setting through a brief scoping review of literature published between 2014 and …

[HTML][HTML] Automated fracture detection in the ulna and radius using deep learning on upper extremity radiographs

ÇB Erdaş - Joint Diseases and Related Surgery, 2023 - ncbi.nlm.nih.gov
Objectives This study aimed to detect single or multiple fractures in the ulna or radius using
deep learning techniques fed on upper-extremity radiographs. Materials and methods The …

[PDF][PDF] Original Research Article Automatic distal radius fracture detection and classification using deep convolutional neural network with radiological images

I Misbah, A Sekar, S Muthu, C Prajitha… - Journal of …, 2024 - jai.front-sci.com
Distal radius fractures (DRF) are among the most common fractures and are often treated
surgically. The accuracy and effectiveness of the surgical procedures greatly depend on the …

Check for updates An Analytical Study of Traffic Accidents in Connecticut, USA Using Python

PR Sureddy, S Mohammed… - Proceedings of the …, 2024 - books.google.com
Amidst the growing traffic networks, the need for nuanced perspectives on traffic safety
becomes increasingly apparent. Traffic patterns are affected by different factors in different …

Automatic distal radius fracture detection and classification using deep convolutional neural network with radiological images

I Misbah, A Sekar, S Muthu… - Journal of …, 2024 - ir.orthopaedicresearchgroup.com
Distal radius fractures (DRF) are among the most common fractures and are often treated
surgically. The accuracy and effectiveness of the surgical procedures greatly depend on the …

[PDF][PDF] Femur Fracture Detection Based on Deep Learning Model YOLOv8

D Xie, H Yu, Z Du, H Wang, X Shen, Z Wang - scitepress.org
Femur fracture occurs in various circumstances like car accidents, high-altitude fall incidents,
tumour illness, and elderly falls. For better recognition and treatment, physicians need to …