公开(公告)号：US20190247151A1

公开(公告)日：2019-08-15

申请号：US16335761

申请日：2017-09-26

Applicant: DENTSPLY SIRONA Inc.

Inventor： Eric BRIGHT ,  Alexander YARMARKOVICH ,  Anton VENDLAND ,  Najib KHALIL

IPC: A61C8/00 ,  A61C5/30

CPC classification number: A61C8/005 ,  A61C5/30 ,  A61C5/70 ,  A61C13/2656

Abstract: A dental restorative system (10) includes a dental prosthesis (21), a support surface (13a or 30) and a cement gap (22) between those opposing surfaces. A number of dry-fit features (11) can be placed upon the support surface (13a or 30) or the prosthesis (21) such that the features (11) extend into cement gap (22). Dry-fit features (11) serve to position the prosthesis (21) during a dry-fit procedure and during subsequent cementing of the prosthesis (21) to its support surface (13a or 30).

公开(公告)号：US20220296344A1

公开(公告)日：2022-09-22

申请号：US17637107

申请日：2020-09-03

Applicant: DENTSPLY SIRONA Inc.

Inventor： Jinho LEE ,  Jesse HUANG ,  Eric BRIGHT

IPC: A61C13/00 ,  A61C5/77 ,  G16H30/40 ,  G06N3/02

Abstract: Embodiments of the present invention provide a method, system, devices and software which provide customized, clinically relevant designs, e.g. treatment plans/solutions for at least single tooth replacement therapy in real-time as needed to enable immediate confirmation of the validity and execution of patient-specific treatment solutions.
A Machine Learning algorithm is used in a method or system for computer implementation of automatic restoration design. The restoration design includes the design of restorative elements such as crowns and abutments. Software is provided for carrying out the methods when executed on a digital processor. Manufacturing of the restorative elements is also included.