公开(公告)号：US11676701B2

公开(公告)日：2023-06-13

申请号：US16562286

申请日：2019-09-05

Applicant: Pearl Inc.

Inventor： Cambron Neil Carter ,  Nandakishore Puttashamachar ,  Rohit Sanjay Annigeri ,  Joshua Alexander Tabak ,  Nishita Kailashnath Sant ,  Ophir Tanz ,  Adam Michael Wilbert ,  Mustafa Alammar

IPC: G06T7/00 ,  G16H30/40 ,  G16H50/20 ,  G06N20/00 ,  G06T11/60 ,  G06F18/21 ,  G06F18/2431 ,  G06V10/25 ,  G06V10/764 ,  G06V10/776

CPC classification number: G16H30/40 ,  G06F18/217 ,  G06F18/2431 ,  G06N20/00 ,  G06T7/0012 ,  G06T11/60 ,  G06V10/25 ,  G06V10/764 ,  G06V10/776 ,  G16H50/20 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30036 ,  G06V2201/03

Abstract: Systems and methods are provided for automatically marking locations within a radiograph of one or more dental pathologies, anatomies, anomalies or other conditions determined by automated image analysis of the radiograph by a number of different machine learning models. Image annotation data may be generated based at least in part on obtained results associated with output of the multiple machine learning models, where the image annotation data indicates at least one location in the radiograph and an associated dental pathology, restoration, anatomy or anomaly detected at the at least one location by at least one of the machine learning models. A number of different pathologies may be identified and their locations marked within a single radiograph image.

公开(公告)号：US20210073977A1

公开(公告)日：2021-03-11

申请号：US16562285

申请日：2019-09-05

Applicant: Pearl Inc.

Inventor： Cambron Neil Carter ,  Nandakishore Puttashamachar ,  Rohit Sanjay Annigeri ,  Joshua Alexander Tabak ,  Nishita Kailashnath Sant ,  Ophir Tanz ,  Adam Michael Wilbert ,  Mustafa Alammar

IPC: G06T7/00 ,  G16H30/40 ,  G06T11/20

Abstract: Systems and methods are provided for presenting an interactive user interface that visually marks locations within a radiograph of one or more dental pathologies, anatomies, anomalies or other conditions determined by automated image analysis of the radiograph by a number of different machine learning models. Annotation data generated by the machine learning models may be obtained, and one or more visual bounding shapes generated based on the annotation data. A user interface may present at least a portion of the radiograph's image data, along with display of the visual bounding shapes appearing to be overlaid over the at least a portion of the image data to visually mark the presence and location of a given pathology or other condition.

公开(公告)号：US10984529B2

公开(公告)日：2021-04-20

申请号：US16562285

申请日：2019-09-05

Applicant: Pearl Inc.

Inventor： Cambron Neil Carter ,  Nandakishore Puttashamachar ,  Rohit Sanjay Annigeri ,  Joshua Alexander Tabak ,  Nishita Kailashnath Sant ,  Ophir Tanz ,  Adam Michael Wilbert ,  Mustafa Alammar

IPC: G06T7/00 ,  G16H30/40 ,  G06T11/20

Abstract: Systems and methods are provided for presenting an interactive user interface that visually marks locations within a radiograph of one or more dental pathologies, anatomies, anomalies or other conditions determined by automated image analysis of the radiograph by a number of different machine learning models. Annotation data generated by the machine learning models may be obtained, and one or more visual bounding shapes generated based on the annotation data. A user interface may present at least a portion of the radiograph's image data, along with display of the visual bounding shapes appearing to be overlaid over the at least a portion of the image data to visually mark the presence and location of a given pathology or other condition.

公开(公告)号：US20240087725A1

公开(公告)日：2024-03-14

申请号：US18316960

申请日：2023-05-12

Applicant: Pearl Inc.

Inventor： Cambron Neil Carter ,  Nandakishore Puttashamachar ,  Rohit Sanjay Annigeri ,  Joshua Alexander Tabak ,  Nishita Kailashnath Sant ,  Ophir Tanz ,  Adam Michael Wilbert ,  Mustafa Alammar

IPC: G16H30/40 ,  G06F18/21 ,  G06F18/2431 ,  G06N20/00 ,  G06T7/00 ,  G06T11/60 ,  G06V10/25 ,  G06V10/764 ,  G06V10/776 ,  G16H50/20

CPC classification number: G16H30/40 ,  G06F18/217 ,  G06F18/2431 ,  G06N20/00 ,  G06T7/0012 ,  G06T11/60 ,  G06V10/25 ,  G06V10/764 ,  G06V10/776 ,  G16H50/20 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30036 ,  G06V2201/03

Abstract: Systems and methods are provided for automatically marking locations within a radiograph of one or more dental pathologies, anatomies, anomalies or other conditions determined by automated image analysis of the radiograph by a number of different machine learning models. Image annotation data may be generated based at least in part on obtained results associated with output of the multiple machine learning models, where the image annotation data indicates at least one location in the radiograph and an associated dental pathology, restoration, anatomy or anomaly detected at the at least one location by at least one of the machine learning models. A number of different pathologies may be identified and their locations marked within a single radiograph image.

公开(公告)号：US20210074425A1

公开(公告)日：2021-03-11

申请号：US16562286

申请日：2019-09-05

Applicant: Pearl Inc.

Inventor： Cambron Neil Carter ,  Nandakishore Puttashamachar ,  Rohit Sanjay Annigeri ,  Joshua Alexander Tabak ,  Nishita Kailashnath Sant ,  Ophir Tanz ,  Adam Michael Wilbert ,  Mustafa Alammar

IPC: G16H50/20 ,  G16H30/40 ,  G06N20/00 ,  G06T7/00 ,  G06K9/62 ,  G06T11/60

Abstract: Systems and methods are provided for automatically marking locations within a radiograph of one or more dental pathologies, anatomies, anomalies or other conditions determined by automated image analysis of the radiograph by a number of different machine learning models. Image annotation data may be generated based at least in part on obtained results associated with output of the multiple machine learning models, where the image annotation data indicates at least one location in the radiograph and an associated dental pathology, restoration, anatomy or anomaly detected at the at least one location by at least one of the machine learning models. A number of different pathologies may be identified and their locations marked within a single radiograph image.

公开(公告)号：US10932890B1

公开(公告)日：2021-03-02

申请号：US16684427

申请日：2019-11-14

Applicant: Pearl Inc.

Inventor： Nishita Kailashnath Sant ,  Nandakishore Puttashamachar ,  Rohit Sanjay Annigeri ,  Cambron Neil Carter

IPC: A61C13/00 ,  G16H50/20 ,  A61C9/00 ,  G06T15/08 ,  G16H30/40 ,  G06T17/20

Abstract: Systems and methods for enhanced techniques for determination of dental margins in intraoral scans. An example method includes receiving a request including an intraoral scan of a portion of a mouth, the intraoral scan depicting a margin created via adjustment of a tooth. A prepared region depicting the tooth is identified based on the intraoral scan. A representation of the intraoral scan usable as input to a machine learning model is generated, with the representation comprising structured data associated with the point cloud or mesh. Information identifying an estimated margin is determined based on the representation via computing a forward pass of the machine learning model. A response comprising the determined information is generated, with the determined information being usable to fabricate a prosthetic according to the estimated margin.