Contemporary Advances in Joint Arthroplasty: Optimizing Outcomes and Expanding Indications
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Orthopedics".
Deadline for manuscript submissions: 20 May 2026 | Viewed by 31
Special Issue Editors
Interests: regenerative medicine; orthopaedics; pain management; artificial intelligence; machine learning; arthroplasty
Special Issues, Collections and Topics in MDPI journals
Interests: orthopedic surgery; regenerative medicine; shoulder arthroplasty; shoulder arthroscopy; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Joint arthroplasty remains one of the most successful and transformative interventions in modern orthopedics, offering profound pain relief and functional restoration for patients with end-stage joint disease. However, the field is rapidly evolving, driven by innovations in surgical techniques, implant design, perioperative care, and the management of complex cases. This Special Issue aims to capture the forefront of clinical research and practice in joint arthroplasty. We seek high-quality original research articles and comprehensive reviews focusing on optimizing patient outcomes through enhanced recovery protocols (ERAS), precision techniques (robotic-assisted surgery, computer navigation, patient-specific instrumentation), and novel bearing surfaces or implant materials. Additionally, we welcome contributions addressing the expansion of safe and effective indications, including management strategies for younger, higher-demand patients; complex primary arthroplasty (severe deformity, bone loss); and challenging revision scenarios. Topics of interest also encompass long-term survivorship analysis, complication mitigation (infection, instability, periprosthetic fracture), outcome measurement advancements, and cost-effectiveness analyses of new technologies. This issue will provide clinicians with evidence-based insights to refine surgical decision-making, improve patient selection, implement best practices, and ultimately deliver superior, durable results for a growing population requiring joint replacement.
Dr. Ashim Gupta
Dr. Hugo C. Rodriguez
Guest Editors
Manuscript Submission Information
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Keywords
- joint arthroplasty
- total joint replacement
- revision arthroplasty
- robotic-assisted surgery
- periprosthetic joint infection (PJI)
- enhanced recovery after surgery (ERAS)
- machine learning
- artifical intelligence
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