Assisted Knee Arthroplasty: From Preoperative Planning to Postoperative Outcomes
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Orthopedics".
Deadline for manuscript submissions: 20 June 2026 | Viewed by 23
Special Issue Editors
Interests: knee arthroplasty; hip arthroplasty; revision total knee arthroplasty; revision total hip arthroplasty; robotic assisted surgery; unicompartmental knee arthroplasty; periprosthetic joint infection
Interests: knee arthroplasty; hip arthroplasty; revision total knee arthroplasty; revision total hip arthroplasty; robotic assisted surgery; fuctional alignment; periprosthetic joint infection osteoarthritis; unicompartmental knee arthroplasty; minimal invasive surgery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Assisted knee arthroplasty is at the forefront of innovation in orthopaedic surgery, integrating advanced technologies across the full continuum of care—from preoperative planning and intraoperative execution to postoperative recovery and long-term monitoring. Although total knee replacement remains one of the most successful procedures in orthopaedics, up to 20% of patients continue to report dissatisfaction due to unresolved pain or limited functional improvement. To address these challenges, state-of-the-art technologies—including robotic-assisted systems, computer navigation, AI-based planning tools, and digital outcome monitoring—are increasingly being employed to enhance surgical accuracy, optimize implant positioning, and support personalized approaches tailored to each patient’s anatomy and biomechanics.
This Special Issue aims to highlight the evolving role of technology in modern knee arthroplasty, exploring how digital innovation can reduce procedural variability, improve clinical outcomes, and enable more predictable recovery pathways.
We welcome original research and review articles on topics including (but not limited to) preoperative imaging and planning software, robotic and computer-assisted surgical techniques, patient-specific instrumentation and alignment, intraoperative navigation, smart implants, digital tools for postoperative assessment, pain management strategies, and enhanced recovery protocols.
Dr. Luigi Zanna
Prof. Dr. Matteo Innocenti
Guest Editors
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Keywords
- assisted knee arthroplasty
- robotic-assisted surgery
- computer navigation
- preoperative planning
- patient-specific alignment
- minimally invasive surgery
- digital health technologies
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