Live Webinar hosted by Medidenta
This concise, high-impact webinar provides a strategic overview of how artificial intelligence (AI) and in-office 3D-printing technologies are reshaping modern implant-restorative workflows. Attendees will discover how digital design, automated planning, and additive fabrication can streamline collaboration between dental practices and labs, reduce outsourcing costs, and elevate precision and productivity. While this session is not a hands-on lab, you’ll walk away with a clear framework of the workflow from scan acquisition to design export to print preparation and understand how to integrate these technologies into your practice or laboratory environment.
What you will learn:
- How AI tools are being leveraged to optimize implant case planning, surgical-guide design, and prosthetic workflows.
- The key steps of a digital workflow in implant-restorative dentistry: scan, design, export, fabricate.
- How in-office 3D-printing fits into the workflow: printer setup, material selection, post-processing, and quality control.
- The criteria for deciding when to handle fabrication in-house vs when to outsource, and how to improve communication between clinician and laboratory.
- Common workflow bottlenecks (e.g., data-transfer issues, slicing errors, print finishing) and how to troubleshoot them proactively.
Who should attend:
- Dental clinicians, laboratory technicians, digital workflow coordinators, practice managers, and any team member involved in implant-restorative case planning and fabrication — who want an introduction to the evolving world of AI-driven design and 3D-printing in dentistry.
Format & What to Expect:
- 2-hour live webinar format: ~90 minutes of instruction and workflow presentation, followed by Q&A.
- High-level walkthrough of the digital design ecosystem (software, scan import, case setup) and how print fabrication ties in.
- Real-world examples from implant-restorative cases to illustrate the design-to-print workflow.
Actionable next steps so you can begin evaluating or implementing AI/3D-print integration in your practice or lab within the next 60-90 days.
