The impact of smart tools on total knee arthroplasty.

Am J Orthop (Belle Mead NJ)

Insall Scott Kelly Institute, New York, New York, USA.

Published: September 2007

Smart tools and robotic surgery are helping us take a step into the operating room of the future. As this technology develops, it can potentially help surgeons perform total knee arthroplasty (TKA) faster and with increased accuracy. In addition, this technology will reduce the number of instruments needed for the procedure, thus improving efficiency. As technology advances, smart tools may become commonplace in the operating room and may fulfill their potential to transform the way TKA is performed. Such potential is important, as there has been an exponential rise in the number of TKAs performed annually. The resulting demand on surgeons and hospital systems will necessitate improving technology so that it can be used to treat more patients while maintaining quality of care. Smart tools and robotic surgery may represent one answer to this demand.

Download full-text PDF

Source

Publication Analysis

Top Keywords

smart tools
16
total knee
8
knee arthroplasty
8
tools robotic
8
robotic surgery
8
operating room
8
impact smart
4
tools
4
tools total
4
arthroplasty smart
4

Similar Publications

Lock-in amplifiers (LIAs) are critical tools in precision measurement, particularly for applications involving weak signals obscured by noise. Advances in signal processing algorithms and hardware synthesis have enabled accurate signal extraction, even in extremely noisy environments, making LIAs indispensable in sensor applications for healthcare, industry, and other services. For instance, the electrical impedance measurement of the human body, organs, tissues, and cells, known as bioelectrical impedance, is commonly used in biomedical and healthcare applications because it is non-invasive and relatively inexpensive.

View Article and Find Full Text PDF

A Review of CNN Applications in Smart Agriculture Using Multimodal Data.

Sensors (Basel)

January 2025

Institut de Recherche en Informatique de Toulouse, IRIT UMR5505 CNRS, 31400 Toulouse, France.

This review explores the applications of Convolutional Neural Networks (CNNs) in smart agriculture, highlighting recent advancements across various applications including weed detection, disease detection, crop classification, water management, and yield prediction. Based on a comprehensive analysis of more than 115 recent studies, coupled with a bibliometric study of the broader literature, this paper contextualizes the use of CNNs within Agriculture 5.0, where technological integration optimizes agricultural efficiency.

View Article and Find Full Text PDF

Recycling end-of-life wind turbines poses a significant challenge due to the increasing number of turbines going out of use. After many years of operation, turbines lose their functional properties, generating a substantial amount of composite waste that requires efficient and environmentally friendly processing methods. Wind turbine blades, in particular, are a problematic component in the recycling process due to their complex material composition.

View Article and Find Full Text PDF

Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It.

Diagnostics (Basel)

January 2025

Aerospace Engineering Department and Interdisciplinary Research Center for Smart Mobility and Logistics, and Interdisciplinary Research Center Aviation and Space Exploration, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.

Artificial intelligence (AI) has recently made unprecedented contributions in every walk of life, but it has not been able to work its way into diagnostic medicine and standard clinical practice yet. Although data scientists, researchers, and medical experts have been working in the direction of designing and developing computer aided diagnosis (CAD) tools to serve as assistants to doctors, their large-scale adoption and integration into the healthcare system still seems far-fetched. Diagnostic radiology is no exception.

View Article and Find Full Text PDF

Photoacid generators (PAGs) are invaluable molecular tools that exhibited tremendous potential in emerging interdisciplinary researches of life-science, nanotechnology and smart materials. However, current PAGs are primarily mono-functional in terms of acid generation and rely on UV/deep-blue light excitation, posing a fundamental hurdle to their broader adoption. Developing cooperatively functioned PAGs with long-wavelength light responsiveness presents a formidable challenge due to the absence of suitable molecular scaffolds.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!