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：US20240029166A1

公开(公告)日：2024-01-25

申请号：US18169446

申请日：2023-02-15

Applicant: Pearl Inc.

Inventor： Joshua Alexander Tabak ,  Adam Michael Wilbert ,  Mustafa Alammar ,  Rohit Sanjay Annigeri ,  Cambron Neil Carter ,  Ophir Tanz

IPC: G06Q40/08 ,  G06F9/54 ,  H04L9/32 ,  G06N20/00 ,  G16H15/00 ,  G16H30/20 ,  H04L67/133 ,  G06F18/22

CPC classification number: G06Q40/08 ,  G06F9/547 ,  H04L9/3247 ,  G06N20/00 ,  G16H15/00 ,  G16H30/20 ,  H04L67/133 ,  G06F18/22

Abstract: Systems and methods are described for automatically evaluating a claim submitted to an insurance carrier. Claim information and at least one image associated with the claim may be received, where the image has been submitted to a carrier as supporting evidence of a service performed by a submitter of the claim. The system may provide image data and other claim information from the submitted claim as input to machine learning models configured to identify whether the image data, such as a radiograph, supports the other data in the claim submission, such as a treatment code.

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：US10937108B1

公开(公告)日：2021-03-02

申请号：US17075607

申请日：2020-10-20

Applicant: Pearl Inc.

Inventor： Joshua Alexander Tabak ,  Adam Michael Wilbert ,  Mustafa Alammar ,  Rohit Sanjay Annigeri ,  Cambron Neil Carter ,  Ophir Tanz

IPC: G06Q40/00 ,  G06Q40/08 ,  G06F9/54 ,  H04L9/32 ,  G06N20/00

Abstract: Systems and methods are described for automatically evaluating a claim submitted to an insurance carrier. Claim information and at least one image associated with the claim may be received, where the image has been submitted to a carrier as supporting evidence of a service performed by a submitter of the claim. The system may provide image data and other claim information from the submitted claim as input to machine learning models configured to identify whether the image data, such as a radiograph, supports the other data in the claim submission, such as a treatment code.

公开(公告)号：US20240274264A1

公开(公告)日：2024-08-15

申请号：US18472667

申请日：2023-09-22

Applicant: Pearl Inc.

Inventor： Joshua Alexander Tabak ,  Hamza Surti ,  Ophir Tanz ,  Cambron Neil Carter

IPC: G16H20/40 ,  G16H10/60

CPC classification number: G16H20/40 ,  G16H10/60

Abstract: Systems and methods are described for utilizing machine learning techniques to analyze data associated with one or more dental practices to identify missed treatment opportunities, future treatment opportunities, or provider performance metrics. The treatment opportunities or performance metrics may be determined or identified based at least in part on a comparison of patient data, such as data stored in association with a dental office's practice management system, with the output of one or more machine learning models' processing of associated radiograph images of the dental office's patients. The one or more machine learning models may include models that identify, from image data of a radiograph, a dental condition depicted in the radiograph, which may be mapped by a computer system to a corresponding dental treatment recommended for the identified dental condition.

公开(公告)号：US11776677B2

公开(公告)日：2023-10-03

申请号：US17569370

申请日：2022-01-05

Applicant: Pearl Inc.

Inventor： Joshua Alexander Tabak ,  Hamza Surti ,  Ophir Tanz ,  Cambron Neil Carter

IPC: G16H20/40 ,  G16H10/60

CPC classification number: G16H20/40 ,  G16H10/60

Abstract: Systems and methods are described for utilizing machine learning techniques to analyze data associated with one or more dental practices to identify missed treatment opportunities, future treatment opportunities, or provider performance metrics. The treatment opportunities or performance metrics may be determined or identified based at least in part on a comparison of patient data, such as data stored in association with a dental office's practice management system, with the output of one or more machine learning models' processing of associated radiograph images of the dental office's patients. The one or more machine learning models may include models that identify, from image data of a radiograph, a dental condition depicted in the radiograph, which may be mapped by a computer system to a corresponding dental treatment recommended for the identified dental condition.

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：US11587184B2

公开(公告)日：2023-02-21

申请号：US17150883

申请日：2021-01-15

Applicant: Pearl Inc.

Inventor： Joshua Alexander Tabak ,  Adam Michael Wilbert ,  Mustafa Alammar ,  Rohit Sanjay Annigeri ,  Cambron Neil Carter ,  Ophir Tanz

IPC: G06Q40/08 ,  G06F9/54 ,  H04L9/32 ,  G06N20/00 ,  G16H15/00 ,  G16H30/20 ,  G06K9/62 ,  H04L67/133

Abstract: Systems and methods are described for automatically evaluating a claim submitted to an insurance carrier. Claim information and at least one image associated with the claim may be received, where the image has been submitted to a carrier as supporting evidence of a service performed by a submitter of the claim. The system may provide image data and other claim information from the submitted claim as input to machine learning models configured to identify whether the image data, such as a radiograph, supports the other data in the claim submission, such as a treatment code.