Year: 2025
Type: article
Abstract: Total knee arthroplasty is a complex surgical procedure where precise identification and handling of surgical instruments are crucial for successful outcomes. However, during surgery, the visibility of instruments can be compromised due to poor lighting and distractions, which increases the risk of surgical errors. This project proposes the development of an intelligent highlighting system to improve instrument tracking and visibility during Total Knee Arthroplasty. The system utilizes computer vision and real-time image processing to detect and highlight instruments, enhancing surgical efficiency and accuracy. The goal is to provide a reliable tool to assist surgeons in easily identifying and locating instruments, reducing the likelihood of errors and improving overall surgical performance. The proposed system integrates seamlessly with existing surgical setups, ensuring minimal disruption. Key advantages include improved safety, reduced time spent searching for instruments, and enhanced surgical precision.
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4410249258