Shoulder Arthroplasty: Clinical Advance and Future Perspective
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Orthopedics".
Deadline for manuscript submissions: 30 December 2025 | Viewed by 19
Special Issue Editor
Special Issue Information
Dear Colleagues,
Shoulder arthroplasty continues to evolve with advancements in surgical techniques, perioperative management, and implant technology. However, challenges remain in optimizing patient selection, improving implant survivorship, and managing complications such as infection, instability, and acromial stress fractures. Refinements in pain control, rehabilitation protocols, and outpatient pathways are reshaping clinical practice, while disparities in outcomes related to sex, BMI, and socioeconomic factors highlight the need for further investigation. Technological innovations in shoulder arthroplasty, including preoperative planning, patient-specific instrumentation, robotic-assisted surgery, and artificial intelligence, are enhancing surgical precision and implant positioning. Defining their clinical impact, cost-effectiveness, and long-term benefits remains an area of active research.
This Special Issue will focus on clinical advances in shoulder arthroplasty, including perioperative optimization, surgical decision-making, complication management, and the role of emerging technologies in optimizing clinical outcomes and improving patient care. We invite high-quality original research, systematic reviews, and clinical studies addressing perioperative strategies, surgical decision-making, implant longevity, complication management, and emerging technologies. Submissions exploring disparities in care and novel rehabilitation approaches are also welcome.
Dr. Vani J. Sabesan
Guest Editor
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Keywords
- shoulder arthroplasty
- reverse shoulder arthroplasty
- perioperative optimization
- multimodal pain management
- rehabilitation protocols
- outpatient shoulder arthroplasty
- implant longevity
- complication management
- disparities in outcomes
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