Purpose: The convergence of Artificial Intelligence (AI) and Augmented Reality (AR) is redefining the benchmarks of precision in Plastic and Reconstructive Surgery (PRS). This analysis evaluates the current evidence for AI-AR integration in preoperative planning, intraoperative navigationand surgical education, identifying key barriers and future trajectories for clinical adoption. Methods: A scoping review was conducted (2020–2025) across PubMed and Medline. Studies were analyzed for outcomes in three domains: (1) AI-powered predictive modeling for patient selection; (2) AR-based intraoperative navigation (e.g. perforator mapping, osteotomy guides); and (3) AI-enhanced surgical simulation. Discussion: Current research demonstrates a "synergistic workflow" where AI manages the data-heavy preoperative phase while AR handles real-time execution. - Preoperative: AI algorithms now outperform standard clinical metrics in predicting microsurgical flap success and aesthetic outcomes by analyzing vast volumetric datasets.1 - Intraoperative: AR overlays (e.g. projecting CTA-derived vascular maps directly onto the patient) significantly improve accuracy in complex reconstructions, such as orbital hypertelorism and breast flap harvest, by reducing "mental mapping" errors.2 - Challenges: Despite technical success, only ~15% of studies are prospective. Major hurdles include "algorithmic bias," high equipment costs and the need for standardized regulatory frameworks for AI-driven surgical aids. Conclusion: The integration of AI and AR marks a transition from intuitive to "information-guided" surgery. While current applications show immense promise in enhancing surgical precision and patient safety, the next decade must focus on prospective clinical validation and the development of cost-effective, ergonomic AR hardware to move these technologies from "innovation" to "standard of care." Reference: 1. Guevara, et al. (2026). J. Clin. Med. AI in Microsurgical Planning: A Five-Year Leap. 2. Zhu, et al. (2025). W. J. Gastro. Surg. AI applications in plastic surgery imaging.