AI-POWERED ROBOTIC ASSISTANCE IN ORTHOPAEDIC SURGERY: ENHANCING PRECISION AND OUTCOMES

Background: The integration of Artificial Intelligence (AI) into robotic surgical systems has introduced transformative possibilities in the field of orthopedic surgery. These technologies are expected to enhance surgical precision, improve patient outcomes, and reduce human error. However, the real-world impact and perception of AI-powered robotic assistance among healthcare professionals remain underexplored. Objective: This study aims to examine the relationship between healthcare professionals' perceptions of AI-powered robotic assistance and its reported influence on surgical precision and postoperative outcomes in orthopedic procedures. Methods: A quantitative research design was employed, utilizing a structured questionnaire distributed to 250 healthcare professionals, including orthopedic surgeons, surgical nurses, technologists, and administrators. The instrument measured perceptions, perceived outcomes, and challenges in adopting AI-powered robotic systems using a 5-point Likert scale. Data were analyzed using SPSS, including Shapiro-Wilk normality tests, Cronbach’s Alpha for reliability, Pearson correlation, and multiple regression analysis. Results: The findings indicated that the data were not normally distributed, and the internal consistency across items was low (Cronbach’s Alpha = 0.054). Pearson correlation and regression analyses revealed weak and statistically insignificant relationships between perceptions of AI assistance and reported outcomes (R² = 0.011). The regression coefficients were slightly negative, suggesting no strong predictive relationship between perceived benefits and actual outcomes. Conclusion: While AI-powered robotic systems in orthopedic surgery are widely regarded as innovative tools, this study found limited empirical support for their perceived effectiveness in improving surgical outcomes. The findings highlight the need for more refined instruments, greater clinical exposure, and longitudinal studies to assess the evolving impact of AI in surgical practice.