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Many new technologies focused mainly on improving surgical accuracy were first developed in total knee arthroplasty and have not yet shown significant value. These non-significant clinical improvements could potentially be explained by an inadequate target. In this current concept paper, the authors will describe how artificial intelligence (AI), robotic-assisted surgery, and custom implants allow the definition of new targets and the standardization of the TKA process. As paradoxical as it may be, new technologies in TKA will allow for better standardization in the overall way in which this procedure is carried out. Achieving this goal can be accomplished by incorporating AI-driven tools into the medical field. These tools are intended to enhance decision making, refine surgical planning, and increase the precision and consistency of surgical procedures. Moreover, custom implants with personalized alignment, beyond restoring native anatomy, will define new targets and standardize the whole TKA process.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12072993 | PMC |
http://dx.doi.org/10.3390/jcm14093102 | DOI Listing |
Knee Surg Relat Res
September 2025
Florida Orthopaedic Institute, Gainesville, FL, 32607, USA.
Background: A clear understanding of minimal clinically important difference (MCID) and substantial clinical benefit (SCB) is essential for effectively implementing patient-reported outcome measurements (PROMs) as a performance measure for total knee arthroplasty (TKA). Since not achieving MCID and SCB may reflect suboptimal surgical benefit, the primary aim of this study was to use machine learning to predict patients who may not achieve the threshold-based outcomes (i.e.
View Article and Find Full Text PDFJ Orthop Res
September 2025
Interdisciplinary Orthopedics, Department of Orthopedics Surgery, Aalborg University Hospital, Aalborg, Denmark.
Functional recovery after total knee arthroplasty (TKA) varies widely among individuals, and traditional assessments often fail to detect subtle changes in real-world walking ability. Wearable sensors offer continuous and objective tracking of gait outside of clinical settings. In this prospective, longitudinal study, thirty-one patients undergoing unilateral TKA wore thigh-mounted accelerometers continuously from 2 weeks before surgery through 90 days postoperatively.
View Article and Find Full Text PDFBMJ Open
September 2025
Department of Rehabilitation, Shengjing Hospital of China Medical University, Shenyang, Liaoning, Chinax
Objectives: This study evaluated the effects of proximal core training on biomechanical risk factors and strength parameters in individuals at high risk of anterior cruciate ligament (ACL) injury (specifically: those exhibiting pathological movement patterns, neuromuscular deficits or biomechanical risk factors) and compared direct versus indirect interventions. We hypothesised that targeted training enhances dynamic knee stabilisation and hip control during high-risk manoeuvres, with direct approaches providing superior biomechanical benefits through neuromuscular control optimisation.
Design: Systematic review and meta-analysis using the Grading of Recommendation, Assessment, Development and Evaluation (GRADE) approach.
J Arthroplasty
September 2025
Dept of Quantitative Health Sciences, Mayo Clinic 200 First Street SW, Rochester, MN 55905; Dept of Orthopedic Surgery, Mayo Clinic 200 First Street SW, Rochester, MN 55905. Electronic address:
Background: Individuals who have had total joint arthroplasty (TJA) are subject to lifelong exposure to metal-based implants. The relationship between chronic exposure to metal-based implants and systemic effects on the brain remains unclear. We aimed to determine the association between TJA and the subsequent long-term risk of dementia.
View Article and Find Full Text PDFJMIR Med Inform
September 2025
Department of Mechanical and Industrial Engineering, Faculty of Engineering, University of Toronto, Toronto, ON, Canada.
Background: Total knee and hip arthroplasty (TKA and THA) are among the most performed elective procedures. Rising demand and the resource-intensive nature of these procedures have contributed to longer wait times despite significant health care investment. Current scheduling methods often rely on average surgical durations, overlooking patient-specific variability.
View Article and Find Full Text PDF