Restorative artificial intelligence-driven implant dentistry for immediate implant placement with an interim crown: A clinical report.
Authors
Affiliations (4)
Affiliations (4)
- Assistant Professor, Department of Restorative Dentistry, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY.
- Resident, Graduate Periodontics Program, Department of Periodontics and Endodontics, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY.
- Assistant Professor, Implant Center, Department of Restorative Dentistry, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY.
- Clinical Associate Professor and Clinical Director for Implant Center, Department of Restorative Dentistry, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY. Electronic address: [email protected].
Abstract
Immediate implant placement into the extraction socket based on a restoratively driven approach poses challenges which might compromise the delivery of an immediate interim restoration on the day of surgery. The fabricated digital design of the interim restoration may require modification before delivery and may not maintain the planned form to support the gingival architecture for the future prosthetic volume for the emergence profile. This report demonstrates how to utilize the artificial intelligence (AI)-assisted segmentation of bone and tooth to enhance restoratively driven planning for immediate implant placement with an immediate interim restoration. A fractured maxillary central incisor was extracted after cone beam computed tomography (CBCT) analysis. AI-assisted segmentation from the digital imaging and communications in medicine (DICOM) file was used to separate the tooth segmentation and alveolar bone for the digital implant planning and AI-assisted design of the interim restoration copied from the natural tooth contour, optimizing the emergence profile. Immediate implant placement was completed after minimally traumatic extraction, and the AI-assisted interim restoration was delivered immediately. The AI-assisted workflow enabled predictable implant positioning based on restorative needs, reducing surgical time and optimizing delivery of the interim restoration for improved clinical outcomes. The emergence profile of the anatomic crown copied from the AI-workflow for the interim restoration guided soft tissue healing effectively.