Text-Conditioned Multi-Expert Regression Framework for Fully Automated Multi-Abutment Design

ArXi:2604.09047v1 Announce Type: new Dental implant abutments serve as the geometric and biomechanical interface between the implant fixture and the prosthetic crown, yet their design relies heavily on manual effort and is time-consuming. Although deep neural networks have been proposed to assist dentists in designing abutments, most existing approaches remain largely manual or semi-automated, requiring substantial clinician intervention and lacking scalability in multi-abutment scenarios.