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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
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.
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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.
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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
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.
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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
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.
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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.
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Patent Agency Ranking
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
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.
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公开(公告)号：US20210383480A1
公开(公告)日：2021-12-09
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
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.
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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
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.
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公开(公告)号：US11328365B2
公开(公告)日：2022-05-10
申请号：US17365896
申请日：2021-07-01
Applicant: Pearl Inc.
Inventor： Joshua Alexander Tabak , Adam Michael Wilbert , Mustafa Alammar , Rohit Sanjay Annigeri , Cambron Neil Carter
IPC: G06Q40/08 , G16H15/00 , G16H30/20 , H04N21/643 , H04L9/32 , G06N20/00 , G06F9/54 , G06K9/62 , H04L67/133
Abstract: Systems and methods are described for automatically identifying fraud, waste or abuse in health insurance claims submitted to insurance companies by healthcare providers. Insurance claim information and at one image associated with the insurance claim may be received, where the image has been submitted by a healthcare provider to an insurance carrier as supporting evidence of a medical service performed by the healthcare provider. The system may generate a digital signature representing the image, then may compare the digital signature generated for the image to previously generated digital signatures of other images that have been submitted in association with other insurance claims. The system may then determine a likelihood that the given insurance claim is associated with fraud, waste or abuse, based in part on whether the digital signature is identical or close to one or more of the previously generated digital signatures.
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公开(公告)号：US20210327000A1
公开(公告)日：2021-10-21
申请号：US17365896
申请日：2021-07-01
Applicant: Pearl Inc.
Inventor： Joshua Alexander Tabak , Adam Michael Wilbert , Mustafa Alammar , Rohit Sanjay Annigeri , Cambron Neil Carter
Abstract: Systems and methods are described for automatically identifying fraud, waste or abuse in health insurance claims submitted to insurance companies by healthcare providers. Insurance claim information and at one image associated with the insurance claim may be received, where the image has been submitted by a healthcare provider to an insurance carrier as supporting evidence of a medical service performed by the healthcare provider. The system may generate a digital signature representing the image, then may compare the digital signature generated for the image to previously generated digital signatures of other images that have been submitted in association with other insurance claims. The system may then determine a likelihood that the given insurance claim is associated with fraud, waste or abuse, based in part on whether the digital signature is identical or close to one or more of the previously generated digital signatures.
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