Background

Artificial Intelligence (AI) has emerged as a transformative technology in healthcare, particularly in surgical planning and navigation. By integrating machine learning, computer vision, deep learning, and real-time image analysis, AI enhances surgical precision, optimizes preoperative planning, and supports intraoperative decision-making. The growing complexity of surgical procedures necessitates advanced tools that improve patient outcomes while minimizing complications.

Objective

To evaluate the role of artificial intelligence in surgical planning and navigation and assess its impact on surgical precision, operative efficiency, and clinical outcomes.

Methods

A multicenter retrospective observational study was conducted across five tertiary care hospitals between January 2022 and December 2024. Data from 850 surgical cases utilizing AI-assisted planning and navigation systems were analyzed. Outcomes included operative duration, surgical accuracy, complication rates, blood loss, hospital stay, and surgeon satisfaction. Statistical analyses were performed using descriptive statistics and multivariate regression models.

Results

AI-assisted procedures demonstrated significantly improved surgical accuracy (94.8% vs. 86.3%), reduced operative time (−18.5%), lower complication rates (9.4% vs. 15.8%), and shorter hospital stays (4.1 vs. 6.3 days). Neurosurgery, orthopedic surgery, and oncologic surgery showed the greatest benefits. Surgeons reported improved confidence and decision-making support during complex procedures.

Conclusion

Artificial intelligence significantly enhances surgical planning and navigation by improving precision, reducing complications, and supporting real-time decision-making. Continued integration of AI technologies may redefine the future of personalized and precision surgery.