Patents by Inventor Cambron Neil Carter
Cambron Neil Carter has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240087725Abstract: 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.Type: ApplicationFiled: May 12, 2023Publication date: March 14, 2024Inventors: Cambron Neil Carter, Nandakishore Puttashamachar, Rohit Sanjay Annigeri, Joshua Alexander Tabak, Nishita Kailashnath Sant, Ophir Tanz, Adam Michael Wilbert, Mustafa Alammar
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Publication number: 20240029166Abstract: 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.Type: ApplicationFiled: February 15, 2023Publication date: January 25, 2024Inventors: Joshua Alexander Tabak, Adam Michael Wilbert, Mustafa Alammar, Rohit Sanjay Annigeri, Cambron Neil Carter, Ophir Tanz
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Publication number: 20230334092Abstract: Systems and methods are provided for analyzing images or video using computer vision. Data comprising real time or near real time information or historical information is retrieved that is associated with a sporting event at a physical location. A time segment is identified of a display device at the physical location for acquisition. The display device is configurable to present visual sponsorship data during the time segment for an assigned sponsor. It is determined that one or more rules are satisfied by the data. An indication is transmitted that the first rule is satisfied to a computing device of a sponsor. A bid or valuation is generated based at least on the first rule being satisfied. A request to acquire the time segment is received from the computing device of the sponsor, and the display device at the physical location is caused to present visual sponsorship data for the sponsor during the time segment.Type: ApplicationFiled: December 13, 2022Publication date: October 19, 2023Inventors: Jeffrey Benjamin Katz, Cambron Neil Carter, Brian Jongmin Kim
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Patent number: 11776677Abstract: 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.Type: GrantFiled: January 5, 2022Date of Patent: October 3, 2023Assignee: Pearl Inc.Inventors: Joshua Alexander Tabak, Hamza Surti, Ophir Tanz, Cambron Neil Carter
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Patent number: 11676701Abstract: 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.Type: GrantFiled: September 5, 2019Date of Patent: June 13, 2023Assignee: Pearl Inc.Inventors: Cambron Neil Carter, Nandakishore Puttashamachar, Rohit Sanjay Annigeri, Joshua Alexander Tabak, Nishita Kailashnath Sant, Ophir Tanz, Adam Michael Wilbert, Mustafa Alammar
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Patent number: 11587184Abstract: 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.Type: GrantFiled: January 15, 2021Date of Patent: February 21, 2023Assignee: Pearl Inc.Inventors: Joshua Alexander Tabak, Adam Michael Wilbert, Mustafa Alammar, Rohit Sanjay Annigeri, Cambron Neil Carter, Ophir Tanz
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Patent number: 11556963Abstract: Systems and methods are provided for determining a media cost equivalent to attribute to the appearance of a sponsor's logo or other object in a media item, such as an image or video. This determination may be based on factors such as clarity, prominence, visibility, size, or placement of a sponsor logo or other object related to the sponsor within at least one media item. One or more machine learning models may be utilized to automatically identify objects within, and otherwise analyze, image data in order to determine sponsor value.Type: GrantFiled: February 19, 2021Date of Patent: January 17, 2023Assignee: Gumgum Sports Inc.Inventors: Jeffrey Benjamin Katz, Cambron Neil Carter, Brian Jongmin Kim
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Publication number: 20220215928Abstract: 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.Type: ApplicationFiled: January 5, 2022Publication date: July 7, 2022Inventors: Joshua Alexander Tabak, Hamza Surti, Ophir Tanz, Cambron Neil Carter
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Patent number: 11328365Abstract: 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.Type: GrantFiled: July 1, 2021Date of Patent: May 10, 2022Assignee: Pearl Inc.Inventors: Joshua Alexander Tabak, Adam Michael Wilbert, Mustafa Alammar, Rohit Sanjay Annigeri, Cambron Neil Carter
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Publication number: 20220012778Abstract: Systems and methods are provided for determining a media cost equivalent to attribute to the appearance of a sponsor's logo or other object in a media item, such as an image or video. This determination may be based on factors such as clarity, prominence, visibility, size, or placement of a sponsor logo or other object related to the sponsor within at least one media item. One or more machine learning models may be utilized to automatically identify objects within, and otherwise analyze, image data in order to determine sponsor value.Type: ApplicationFiled: February 19, 2021Publication date: January 13, 2022Inventors: Jeffrey Benjamin Katz, Cambron Neil Carter, Brian Jongmin Kim
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Publication number: 20210383480Abstract: 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.Type: ApplicationFiled: January 15, 2021Publication date: December 9, 2021Inventors: Joshua Alexander Tabak, Adam Michael Wilbert, Mustafa Alammar, Rohit Sanjay Annigeri, Cambron Neil Carter, Ophir Tanz
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Publication number: 20210327000Abstract: 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.Type: ApplicationFiled: July 1, 2021Publication date: October 21, 2021Inventors: Joshua Alexander Tabak, Adam Michael Wilbert, Mustafa Alammar, Rohit Sanjay Annigeri, Cambron Neil Carter
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Publication number: 20210224919Abstract: 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.Type: ApplicationFiled: September 4, 2020Publication date: July 22, 2021Inventors: Joshua Alexander Tabak, Adam Michael Wilbert, Mustafa Alammar, Rohit Sanjay Annigeri, Cambron Neil Carter
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Patent number: 11055789Abstract: 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.Type: GrantFiled: September 4, 2020Date of Patent: July 6, 2021Assignee: Pearl Inc.Inventors: Joshua Alexander Tabak, Adam Michael Wilbert, Mustafa Alammar, Rohit Sanjay Annigeri, Cambron Neil Carter
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Patent number: 11019283Abstract: Systems and methods are provided for identifying one or more portions of images or video frames that are appropriate for augmented overlay of advertisement or other visual content, and augmenting the image or video data to include such additional visual content. Identifying the portions appropriate for overlay or augmentation may include employing one or more machine learning models configured to identify objects or regions of an image or video frame that meet criteria for visual augmentation. The pose of the augmented content presented within the image or video frame may correspond to the pose of one or more real-world objects in the real world scene captured within the original image or video.Type: GrantFiled: January 16, 2019Date of Patent: May 25, 2021Assignee: GumGum, Inc.Inventors: Cambron Neil Carter, Daniel James McKenna, Iris Wing Yin Fu, Divyaa Ravichandran
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Patent number: 10984529Abstract: 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.Type: GrantFiled: September 5, 2019Date of Patent: April 20, 2021Assignee: Pearl Inc.Inventors: Cambron Neil Carter, Nandakishore Puttashamachar, Rohit Sanjay Annigeri, Joshua Alexander Tabak, Nishita Kailashnath Sant, Ophir Tanz, Adam Michael Wilbert, Mustafa Alammar
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Publication number: 20210073977Abstract: 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.Type: ApplicationFiled: September 5, 2019Publication date: March 11, 2021Inventors: Cambron Neil Carter, Nandakishore Puttashamachar, Rohit Sanjay Annigeri, Joshua Alexander Tabak, Nishita Kailashnath Sant, Ophir Tanz, Adam Michael Wilbert, Mustafa Alammar
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Publication number: 20210074425Abstract: 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.Type: ApplicationFiled: September 5, 2019Publication date: March 11, 2021Inventors: Cambron Neil Carter, Nandakishore Puttashamachar, Rohit Sanjay Annigeri, Joshua Alexander Tabak, Nishita Kailashnath Sant, Ophir Tanz, Adam Michael Wilbert, Mustafa Alammar
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Patent number: 10937108Abstract: 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.Type: GrantFiled: October 20, 2020Date of Patent: March 2, 2021Assignee: Pearl Inc.Inventors: Joshua Alexander Tabak, Adam Michael Wilbert, Mustafa Alammar, Rohit Sanjay Annigeri, Cambron Neil Carter, Ophir Tanz
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Patent number: 10932890Abstract: 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.Type: GrantFiled: November 14, 2019Date of Patent: March 2, 2021Assignee: Pearl Inc.Inventors: Nishita Kailashnath Sant, Nandakishore Puttashamachar, Rohit Sanjay Annigeri, Cambron Neil Carter