Erta Xhanari
Research Subjects
Erta Xhanari has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Ghanem Arbid
Artium Dental Lab., Beirut 1107 2180, Lebanon
1 shared publication - Hani Tohme
Head of Department of Digital Dentistry, AI, and Evolving Technologies, Faculty of Dental Medicine, Saint-Joseph University of Beirut, Beirut 1107 2180, Lebanon
1 shared publication - Manar Metlej
Department of Esthetic and Prosthetic Dentistry, School of Dentistry, Saint-Joseph University, Beirut 1107 2180, Lebanon
1 shared publication - Mohammad Qaddomi
Department of Dental Technology, School of Dentistry, Al-Ahliyya Amman University, Amman 19328, Jordan
1 shared publication
Latest Publications
- Open Access
- 10 May 2026
- Published by MDPI AG in Prosthesis
- Vol. 8 (5) , 45
Digital Smile Design with AI-Assisted Workflow for Minimally Invasive Veneer Rehabilitation: A Case Report
This case report describes a digital workflow for the aesthetic rehabilitation of a 30-year-old male patient with unaesthetic anterior teeth. The treatment incorporated AI-assisted smile design software (SmileCloud Biometrics) for 2D/3D digital planning and patient communication. Six lithium disilicate veneers (IPS e.max CAD) were fabricated using CAD/CAM technology following mock-up-guided minimally invasive preparation (0.2–0.9 mm reduction). The restorations were adhesively cemented under rubber dam isolation. One-week follow-up confirmed aesthetic integration, occlusal harmony, and patient satisfaction. This case illustrates how digital workflows with AI-assisted tools can support veneer rehabilitation through data-informed planning and conservative preparation while maintaining aesthetic outcomes.
- 10 May 2026
- Published by MDPI AG in Prosthesis
- Vol. 8 (5) , 45
Open AccessDigital Smile Design with AI-Assisted Workflow for Minimally Invasive Veneer Rehabilitation: A Case Report
This case report describes a digital workflow for the aesthetic rehabilitation of a 30-year-old male patient with unaesthetic anterior teeth. The treatment incorporated AI-assisted smile design software (SmileCloud Biometrics) for 2D/3D digital planning and patient communication. Six lithium disilicate veneers (IPS e.max CAD) were fabricated using CAD/CAM technology following mock-up-guided minimally invasive preparation (0.2–0.9 mm reduction). The restorations were adhesively cemented under rubber dam isolation. One-week follow-up confirmed aesthetic integration, occlusal harmony, and patient satisfaction. This case illustrates how digital workflows with AI-assisted tools can support veneer rehabilitation through data-informed planning and conservative preparation while maintaining aesthetic outcomes.