Patents by Inventor Adam Michael Wilbert
Adam Michael Wilbert 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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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: 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: 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: 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