This study employed bibliometric methodologies to systematically investigate the research landscape and evolutionary trajectory of robot-assisted orthopedic telesurgery (RAOTS) from 2010 to 2025. A visual analysis of 3,226 publications indexed in the...
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 inve...
OBJECTIVE: This study aimed to explore orthopaedic patients' and families' experiences with artificial intelligence (AI)-driven chatbots for perioperative health information, focusing on usability, effectiveness and perceptions.
Artificial intelligence (AI) is changing orthopedics through improving accuracy before, during, and after surgery. This investigation is a comprehensive review on the use of AI in orthopedics, its advantages, and challenges. Preoperatively, AI imagin...
Robotic surgery enhances precision in orthopedic and trauma procedures like joint replacements and bone corrections using navigation, artificial intelligence, and preoperative planning. This study aims to describe the global scientific output on robo...
British journal of hospital medicine (London, England : 2005)
Jul 4, 2025
The opioid crisis presents a significant burden to patients and healthcare systems. Orthopaedic surgery involves treating patients with significant pain demands, therefore opioid stewardship in this specialty is an important area in targeting the opi...
The Orthopedic clinics of North America
Apr 3, 2025
Value-based health care is a commonly used term that merits a strong understanding from the orthopedic surgeon given its importance in orthopedic patient care. In this review article, we provide an overview of the concept, discussing the value equati...
Journal of orthopaedic surgery (Hong Kong)
Apr 2, 2025
The orthopedic field is on the brink of a significant transformation-a shift from retrospective analysis to real-time decision-making fueled by data. The dependence on historical trends or long-term studies is yielding to an era where data flows dyna...
The spine journal : official journal of the North American Spine Society
Mar 29, 2025
BACKGROUND CONTEXT: Machine learning (ML) algorithms can utilize the large amount of tabular data in electronic health records (EHRs) to predict perioperative safety indicators. Integrating unstructured free-text inputs via natural language processin...
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