Clinical Report: AI-Assisted Chairside Workflow for Posterior Zirconia Crowns
Background
The use of monolithic zirconia crowns has gained popularity due to their durability and esthetic qualities.
Data Highlights
No numerical data was provided in the article.
Key Findings
- A 77-year-old male patient received indirect monolithic zirconia crowns after diagnosis of failing restorations.
- AI-assisted design workflows reduced the need for manual adjustments in restoration design.
- Intraoral scanning with the iTero Lumina™ scanner improved margin capture in challenging subgingival areas.
- Final restorations demonstrated excellent marginal adaptation and occlusal integration.
- Connected digital workflows enabled same-appointment restoration delivery.
Clinical Implications
The integration of AI and digital workflows can enhance the efficiency and accuracy of restorative procedures. Clinicians may consider adopting these technologies to improve patient outcomes and streamline treatment processes.
Conclusion
AI-assisted workflows represent a significant advancement in the field of restorative dentistry, facilitating improved clinical outcomes and operational efficiency.
Related Resources & Content
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- Digitally fabricated posterior ceramic crowns versus conventionally fabricated cast crowns: a split-mouth retrospective cohort study | BMC Oral Health | Springer Nature Link
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- Long-term clinical outcomes of posterior monolithic and porcelain-fused zirconia crowns: A retrospective cohort study - ScienceDirect
- Clinical outcome of translucent zirconia and metal‐ceramic posterior crowns in a digital workflow: A 5‐year prospective randomized clinical trial - PMC
- Digitally fabricated posterior ceramic crowns versus conventionally fabricated cast crowns: a split-mouth retrospective cohort study | BMC Oral Health | Springer Nature Link
- Tooth Preparation Assessment Criteria for All-Ceramic CAD/CAM Posterior Crowns: An Evidence Map - PubMed
- Zirconia restoration types, properties, tooth preparation design, and bonding. A narrative review - PMC
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- Policy Statement on Ethics in Artificial Intelligence (AI) in Dental, Oral, and Craniofacial Research | IADR - International Association of Dental Research
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