FP1 Rehabilitations in the Era of Artificial Intelligence
The rehabilitation of terminal dentitions has traditionally focused on restoring function through prosthetic replacement of lost teeth and supporting tissues. However, increasing patient expectations and advances in implant therapy have shifted contemporary
treatment goals toward esthetic FP1 implant rehabilitations, where restorations replicate the morphology, emergence profile, and visual integration of natural teeth while maintaining harmonious peri-implant soft tissues.
The growing integration of artificial intelligence (AI) within digital workflows is transforming how such biologically and esthetically demanding rehabilitations are planned and executed. AI-driven technologies now enable automated segmentation
of CBCT datasets, integration of intraoral scans with facial records, and advanced digital smile design. These tools allow clinicians to analyze complex datasets and incorporate facial esthetics, dentoalveolar anatomy, and functional dynamics into
a unified planning environment.
Within this framework, AI-supported predictive design allows clinicians to simulate prosthetic outcomes before treatment begins, guiding implant positioning, restorative contours, and soft-tissue architecture in a prosthetically driven
manner. This predictive approach enhances diagnostic precision, facilitates interdisciplinary communication, and streamlines digital manufacturing processes.
This lecture will explore how AI-assisted diagnostics, predictive design, digital smile design, and three-dimensional functional planning are redefining esthetic full-arch implant therapy and enabling more predictable, efficient, and
individualized FP1 rehabilitations that closely replicate the appearance and integration of natural dentition.
- Understand the biological and prosthetic principles underlying esthetic FP1 full-arch implant rehabilitations.
- Recognize the role of artificial intelligence and predictive design in digital diagnostics, smile design, and treatment planning.
- Identify how AI-supported digital workflows improve predictability, efficiency, and esthetic outcomes in complex FP1 rehabilitations.
Presenter
Wael Att, DMD
Dr. Wael Att is a Professor of Prosthodontics at the Department of Prosthodontics, School of Dentistry, University of Freiburg, Germany, and formerly served as Professor and Chair of the Department of Prosthodontics at Tufts University School
of Dental Medicine. He is the co-founder of The Face Dental Group, a digitally driven center of excellence in esthetic and implant dentistry in Boston, Massachusetts.
Dr. Att currently serves as Head of the United States Education Delegation for the International Team for Implantology (ITI) and as United States Ambassador to the European Association for Osseointegration (EAO). He is a board-certified
prosthodontist of the German Society of Prosthodontics and Biomaterials (DGPro) and an active member of numerous leading professional organizations, including the European Academy of Esthetic Dentistry (EAED), the International Academy of
Digital Dental Medicine, the International College of Prosthodontists, and the Greater New York Academy of Prosthodontics.
His leadership roles include Past President of the International Academy for Digital Dental Medicine (IADDM), Past President of the Prosthodontics Group of the International Association for Dental Research (IADR), and current
President of the Arabian Academy of Esthetic Dentistry (ARAED).
With more than 170 peer-reviewed scientific publications and authorship of an internationally recognized textbook, Dr. Att is widely published and internationally respected as a clinician, educator, and lecturer. His academic
and clinical focus centers on esthetic and implant dentistry, full-arch rehabilitation, and the integration of advanced digital technologies into reconstructive and multidisciplinary dental workflows.
