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 …

A Systematic Review of Artificial Intelligence in Orthopaedic Disease Detection: A Taxonomy for Analysis and Trustworthiness Evaluation

TJ Mohammed, C Xinying, A Alnoor, KW Khaw… - International Journal of …, 2024 - Springer
Orthopaedic diseases, which affect millions of people globally, present significant diagnostic
challenges, often leading to long-term disability and chronic pain. There is an ongoing …

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 …

Artificial intelligence in fracture detection on radiographs: a literature review

A Lo Mastro, E Grassi, D Berritto, A Russo… - Japanese Journal of …, 2024 - Springer
Fractures are one of the most common reasons of admission to emergency department
affecting individuals of all ages and regions worldwide that can be misdiagnosed during …

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 …

The Accuracy of Artificial Intelligence Models in Hand/Wrist Fracture and Dislocation Diagnosis: A Systematic Review and Meta-Analysis

CR Wong, A Zhu, HL Baltzer - JBJS reviews, 2024 - journals.lww.com
Background: Early and accurate diagnosis is critical to preserve function and reduce
healthcare costs in patients with hand and wrist injury. As such, artificial intelligence (AI) …

Texture Aware Deep Features for Precise Wrist Fracture Detection

MH Butt, W Ahmad, SMA Shah… - Pakistan Journal of …, 2024 - journals.uol.edu.pk
Bone fractures are a critical medical condition requiring a thorough and accurate diagnosis
to ensure proper treatment and healing. The physical examination of X-ray images by …

[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 …

Human Body Bone Fracture Identification using Improved Deep Learning Model

PP Kale, UB Shinde, DL Bhuyar… - 2024 2nd DMIHER …, 2024 - ieeexplore.ieee.org
Accidental human bone fractures require repair. Fractured bones include geometric
information. The resolved body fractures show better conformance along the sensitive …