Accuracy and Precision of a Novel Digital Impression Workflow with Artificial Intelligence Integrated Tool: An In Vitro Research

Background: Accurate and consistent complete-arch digital impressions are critical for the long-term success of implant-supported restorations. New Artificial Intelligence (AI)-assisted technologies such as SmartX (Medit Link version 3.4.2., MEDIT Corp., South Korea, Seoul) have been introduced to optimize scan body recognition and data alignment during intraoral scanning. Objective: To evaluate the effect of the SmartX tool on scan accuracy, consistency, operator confidence, and the influence of impression technique in complete-arch implant digital workflows. Materials and Methods: A total of six test subgroups were created based on scan body design (double-wing or single-wing), scanning technique (occlusal or combined zigzag/straight), and the use or absence of SmartX AI-based tool. Digital impressions were performed by both an expert and a novice operator, with six scans per subgroup per operator (n = 72 total). Each scan was assessed for consistency, operator confidence, and scan completeness, and the results were compared with those obtained from a control group using a desktop scanner. Mean root mean square (RMS) values and standard deviations were calculated for each group. A two-way analysis of variance (ANOVA) with a random effects model was used to assess differences among groups, with normality confirmed using the Shapiro–Wilk test. All statistical tests were two-tailed, with a significant level of 0.05. Results: SmartX did not significantly improve scan accuracy (p>0.0.5)but did enhance consistency and operator confidence—particularly for novice users. The tool minimized the influence of scan technique, compensating for early scanning errors. While SmartX enabled successful library matching with minimal scan data, complete-arch scanning remained the recommended approach for optimal results. However, scan times were longer when using SmartX, especially for beginners. Conclusion: Although SmartX does not enhance impression accuracy directly, it improves the reliability and user confidence during complete-arch digital impressions, especially among less experienced clinicians. Its ability to reduce technique sensitivity and support library alignment with minimal data highlights its value as a training and clinical tool. Further clinical studies are needed to assess long-term outcomes and broader clinical integration.