The increasing use of Industrial Internet of Things (IIoT) devices has heightened concerns
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …

Diagnostic imaging is essential in modern trauma care for initial evaluation and identifying
injuries requiring intervention. Deep learning (DL) has become mainstream in medical …

Importance Artificial intelligence (AI) enables powerful models for establishment of clinical
diagnostic and prognostic tools for hip fractures; however the performance and potential …

Abstract Integrating Lean Manufacturing tools with artificial intelligence (AI) is emerging as a
revolutionary approach to optimize production processes, reduce waste, and enhance …

Objective This study aimed to evaluate a new deep-learning model for diagnosing avascular
necrosis of the femoral head (AVNFH) by analyzing pelvic anteroposterior digital …

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 …

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 …

Pelvic fractures pose significant challenges in medical diagnosis due to the complex
structure of the pelvic bones. Timely diagnosis of pelvic fractures is critical to reduce …

Utilizing “You only look once”(YOLO) v4 AI offers valuable support in fracture detection and
diagnostic decision-making. The purpose of this study was to help doctors to detect and …

Introduction This article was undertaken to explore the potential of AI in enhancing the
diagnostic accuracy and efficiency in identifying hip fractures using X-ray radiographs. In the …