公开(公告)号：US20230165666A1

公开(公告)日：2023-06-01

申请号：US17539285

申请日：2021-12-01

Applicant: DENTSPLY SIRONA Inc.

Inventor： Evgenij DERZAPF ,  Daniel BIELSER ,  Sandro LÖSCHHORN

IPC: A61C13/00 ,  G06T7/90 ,  G06T7/10

CPC classification number: A61C13/0004 ,  G06T7/90 ,  G06T7/10 ,  G06T2200/04 ,  G06T2207/20081 ,  G06T2207/30036

Abstract: A parameter recommendation module is used to propose a recommendation for dental restoration material parameters. The recommendation takes into consideration final tooth color influencing factors such as underlying tooth stump color and color of restoration fastening material such that at least one output restoration characteristic value needed to achieve a final user-specific tooth color for at least one tooth layer of the restoration is proposed.

公开(公告)号：US20240398521A1

公开(公告)日：2024-12-05

申请号：US18205709

申请日：2023-06-05

Applicant: DENTSPLY SIRONA Inc.

Inventor： Evgenij DERZAPF ,  Andre KOZA ,  Daniel BIELSER ,  Simon TANAKA ,  Samuel MUFF ,  Sandro Löschhorn

IPC: A61C13/00 ,  G06F30/10

Abstract: An intelligent restoration proposal including using an input resource to segment a 3D jaw model to obtain a segmented missing or unhealthy teeth and omitting the segmented missing or unhealthy teeth from the 3D jaw model to obtain a modified 3D jaw model. The modified 3D jaw model is used as input to a restoration proposal module to propose an output restoration. The restoration proposal module is operated as a machine learning engine. The restoration proposal is trained using a database that includes healthy teeth.

公开(公告)号：US20230087800A1

公开(公告)日：2023-03-23

申请号：US17477755

申请日：2021-09-17

Applicant: DENTSPLY SIRONA Inc.

Inventor： Daniel BIELSER ,  Sandro LÖSCHHORN ,  Evgenij DERZAPF ,  Steffen BJÖRN ,  Maryna WASZAK ,  Philippe WIDMER

IPC: A61C7/00 ,  G06N20/00 ,  G06T19/20

Abstract: A method and system to automate an administration and restoration generation process that includes forming a spline along a jaw, proposing potential interdental gaps, weighting the potential interdental gaps to obtain one or more delimiters, automatically proposing tooth number probabilities, and computing a best fit tooth number distribution to generate a patient specific restoration.