Patents by Inventor Razik Yousfi
Razik Yousfi 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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Patent number: 11941152Abstract: Systems and methods are disclosed for preserving patient privacy while transmitting health data from one geographic region to another geographic region for data analysis. One method includes receiving patient-specific health data including patient privacy information at a first region; removing the patient privacy information from the patient-specific health data to generate anonymous health data; storing the patient privacy information at the first region; and transmitting the anonymous health data to a second region for analysis.Type: GrantFiled: September 3, 2021Date of Patent: March 26, 2024Assignee: HeartFlow, Inc.Inventors: Razik Yousfi, Leo Grady, Nathalie D'Amours
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Publication number: 20240087124Abstract: Systems and methods are disclosed for receiving a digital image corresponding to a target specimen associated with a pathology category, determining a quality control (QC) machine learning model to predict a quality designation based on one or more artifacts, providing the digital image as an input to the QC machine learning model, receiving the quality designation for the digital image as an output from the machine learning model, and outputting the quality designation of the digital image. A quality assurance (QA) machine learning model may predict a disease designation based on one or more biomarkers. The digital image may be provided to the QA model which may output a disease designation. An external designation may be compared to the disease designation and a comparison result may be output.Type: ApplicationFiled: November 20, 2023Publication date: March 14, 2024Inventors: Jillian SUE, Razik YOUSFI, Peter SCHUEFFLER, Thomas FUCHS, Leo GRADY
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Patent number: 11928820Abstract: Systems and methods are disclosed for receiving a digital image corresponding to a target specimen associated with a pathology category, determining a quality control (QC) machine learning model to predict a quality designation based on one or more artifacts, providing the digital image as an input to the QC machine learning model, receiving the quality designation for the digital image as an output from the machine learning model, and outputting the quality designation of the digital image. A quality assurance (QA) machine learning model may predict a disease designation based on one or more biomarkers. The digital image may be provided to the QA model which may output a disease designation. An external designation may be compared to the disease designation and a comparison result may be output.Type: GrantFiled: February 24, 2023Date of Patent: March 12, 2024Assignee: Paige.AI, Inc.Inventors: Jillian Sue, Razik Yousfi, Peter Schueffler, Thomas Fuchs, Leo Grady
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Publication number: 20230410987Abstract: Systems and methods are disclosed for using an integrated computing platform to view and transfer digital pathology slides using artificial intelligence, the method including receiving at least one whole slide image in a cloud computing environment located in a first geographic region, the whole slide image depicting a medical sample associated with a patient, the patient being located in the first geographic region; storing the received whole slide image in a first encrypted bucket; applying artificial intelligence to perform a classification of the at least one whole slide image, the classification comprising steps to determine whether portions of the medical sample depicted in the whole slide image are healthy or diseased; based on the classification of the at least one whole slide image, generating metadata associated with the whole slide image; and storing the metadata in a second encrypted bucket.Type: ApplicationFiled: September 6, 2023Publication date: December 21, 2023Inventors: Razik YOUSFI, Peter SCHUEFFLER, Thomas FRESNEAU, Alexander TSEMA
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Publication number: 20230351599Abstract: A computer-implemented method of using a machine learning model to categorize a sample in digital pathology may include receiving one or more cases, each associated with digital images of a pathology specimen; identifying, using the machine learning model, a case as ready to view; receiving a selection of the case, the case comprising a plurality of parts; determining, using the machine learning model, whether the plurality of parts are suspicious or non-suspicious; receiving a selection of a part of the plurality of parts; determining whether a plurality of slides associated with the part are suspicious or non-suspicious; determining, using the machine learning model, a collection of suspicious slides, of the plurality of slides, the machine learning model having been trained by processing a plurality of training images; and annotating the collection of suspicious slides and/or generating a report based on the collection of suspicious slides.Type: ApplicationFiled: June 5, 2023Publication date: November 2, 2023Inventors: Danielle GORTON, Patricia RACITI, Jillian SUE, Razik YOUSFI
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Patent number: 11791036Abstract: Systems and methods are disclosed for using an integrated computing platform to view and transfer digital pathology slides using artificial intelligence, the method including receiving at least one whole slide image in a cloud computing environment located in a first geographic region, the whole slide image depicting a medical sample associated with a patient, the patient being located in the first geographic region; storing the received whole slide image in a first encrypted bucket; applying artificial intelligence to perform a classification of the at least one whole slide image, the classification comprising steps to determine whether portions of the medical sample depicted in the whole slide image are healthy or diseased; based on the classification of the at least one whole slide image, generating metadata associated with the whole slide image; and storing the metadata in a second encrypted bucket.Type: GrantFiled: June 8, 2022Date of Patent: October 17, 2023Assignee: Paige.AI, Inc.Inventors: Razik Yousfi, Peter Schueffler, Thomas Fresneau, Alexander Tsema
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Patent number: 11710235Abstract: A computer-implemented method of using a machine learning model to categorize a sample in digital pathology may include receiving one or more cases, each associated with digital images of a pathology specimen; identifying, using the machine learning model, a case as ready to view; receiving a selection of the case, the case comprising a plurality of parts; determining, using the machine learning model, whether the plurality of parts are suspicious or non-suspicious; receiving a selection of a part of the plurality of parts; determining whether a plurality of slides associated with the part are suspicious or non-suspicious; determining, using the machine learning model, a collection of suspicious slides, of the plurality of slides, the machine learning model having been trained by processing a plurality of training images; and annotating the collection of suspicious slides and/or generating a report based on the collection of suspicious slides.Type: GrantFiled: December 16, 2021Date of Patent: July 25, 2023Assignee: Paige.AI, Inc.Inventors: Danielle Gorton, Patricia Raciti, Jillian Sue, Razik Yousfi
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Publication number: 20230222662Abstract: Systems and methods are disclosed for receiving a digital image corresponding to a target specimen associated with a pathology category, determining a quality control (QC) machine learning model to predict a quality designation based on one or more artifacts, providing the digital image as an input to the QC machine learning model, receiving the quality designation for the digital image as an output from the machine learning model, and outputting the quality designation of the digital image. A quality assurance (QA) machine learning model may predict a disease designation based on one or more biomarkers. The digital image may be provided to the QA model which may output a disease designation. An external designation may be compared to the disease designation and a comparison result may be output.Type: ApplicationFiled: February 24, 2023Publication date: July 13, 2023Inventors: Jillian SUE, Razik YOUSFI, Peter SCHUEFFLER, Thomas FUCHS, Leo GRADY
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Patent number: 11615534Abstract: Systems and methods are disclosed for receiving a digital image corresponding to a target specimen associated with a pathology category, determining a quality control (QC) machine learning model to predict a quality designation based on one or more artifacts, providing the digital image as an input to the QC machine learning model, receiving the quality designation for the digital image as an output from the machine learning model, and outputting the quality designation of the digital image. A quality assurance (QA) machine learning model may predict a disease designation based on one or more biomarkers. The digital image may be provided to the QA model which may output a disease designation. An external designation may be compared to the disease designation and a comparison result may be output.Type: GrantFiled: December 2, 2021Date of Patent: March 28, 2023Assignee: Paige.AI, Inc.Inventors: Jillian Sue, Razik Yousfi, Peter Schueffler, Thomas Fuchs, Leo Grady
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Systems and methods for managing, validating, and transmitting health data across geographic regions
Patent number: 11594319Abstract: Systems and methods are disclosed for preserving patient privacy while allowing health data to be analyzed, managed, and stored in different geographical areas. One method for managing cross-border health data while preserving patient privacy includes: receiving a DICOM object from a hospital computing device for analysis; generating a unique case identifier for the DICOM object; validating the received DICOM object; if, based on the validation, the received DICOM object is valid, anonymizing the received DICOM object; updating the anonymous DICOM object to include the unique case identifier; compressing the updated DICOM object; and sending the compressed DICOM object to at least one data analysis web service(s).Type: GrantFiled: February 21, 2020Date of Patent: February 28, 2023Assignee: HeartFlow, Inc.Inventors: Razik Yousfi, Leo Grady, Jay Sastry -
Patent number: 11538162Abstract: A computer-implemented method of using a machine learning model to categorize a sample in digital pathology may include receiving one or more cases, each associated with digital images of a pathology specimen; identifying, using the machine learning model, a case as ready to view; receiving a selection of the case, the case comprising a plurality of parts; determining, using the machine learning model, whether the plurality of parts are suspicious or non-suspicious; receiving a selection of a part of the plurality of parts; determining whether a plurality of slides associated with the part are suspicious or non-suspicious; determining, using the machine learning model, a collection of suspicious slides, of the plurality of slides, the machine learning model having been trained by processing a plurality of training images; and annotating the collection of suspicious slides and/or generating a report based on the collection of suspicious slides.Type: GrantFiled: December 30, 2021Date of Patent: December 27, 2022Assignee: Paige.AI, Inc.Inventors: Danielle Gorton, Patricia Raciti, Jillian Sue, Razik Yousfi
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Publication number: 20220375023Abstract: A method for processing an electronic image including receiving, by a viewer, the electronic image and a FOV (field of view), wherein the FOV includes at least one coordinate, at least one dimension, and a magnification factor, loading, by the viewer, a plurality of tiles within the FOV, determining, by the viewer, a state of the plurality of tiles in a cache, and in response to determining that the state of the plurality of tiles in the cache is a fully loaded state, rendering, by the viewer, the plurality of tiles to a display.Type: ApplicationFiled: August 4, 2022Publication date: November 24, 2022Inventors: Alexandre KIRSZENBERG, Razik YOUSFI, Thomas FRESNEAU, Peter SCHUEFFLER
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Publication number: 20220375575Abstract: Systems and methods are disclosed for using an integrated computing platform to view and transfer digital pathology slides using artificial intelligence, the method including receiving at least one whole slide image in a cloud computing environment located in a first geographic region, the whole slide image depicting a medical sample associated with a patient, the patient being located in the first geographic region; storing the received whole slide image in a first encrypted bucket; applying artificial intelligence to perform a classification of the at least one whole slide image, the classification comprising steps to determine whether portions of the medical sample depicted in the whole slide image are healthy or diseased; based on the classification of the at least one whole slide image, generating metadata associated with the whole slide image; and storing the metadata in a second encrypted bucket.Type: ApplicationFiled: June 8, 2022Publication date: November 24, 2022Inventors: Razik YOUSFI, Peter SCHUEFFLER, Thomas FRESNEAU, Alexander TSEMA
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Publication number: 20220358650Abstract: Systems and methods are disclosed for identifying formerly conjoined pieces of tissue in a specimen, comprising receiving one or more digital images associated with a pathology specimen, identifying a plurality of pieces of tissue by applying an instance segmentation system to the one or more digital images, the instance segmentation system having been generated by processing a plurality of training images, determining, using the instance segmentation system, a prediction of whether any of the plurality of pieces of tissue were formerly conjoined, and outputting at least one instance segmentation to a digital storage device and/or display, the instance segmentation comprising an indication of whether any of the plurality of pieces of tissue were formerly conjoined.Type: ApplicationFiled: July 20, 2022Publication date: November 10, 2022Inventors: Antoine SAINSON, Brandon ROTHROCK, Razik YOUSFI, Patricia RACITI, Matthew HANNA, Christopher KANAN
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Publication number: 20220343499Abstract: A method may process an electronic image corresponding to a medical sample associated with a patient. The method may include receiving a selection of one or more artificial intelligence (AI) algorithms, receiving one or more whole slide images of a medical sample associated with a patient, performing a task on the whole slide images, using the one or more selected AI algorithms, the whole slide images being stored in a first container, the whole slide images being originated from a first user, the task comprising determining a characteristic of the medical sample in the whole slide images, based on the characteristic of the whole slide image, generating metadata associated with the whole slide image, and storing the metadata in a second container.Type: ApplicationFiled: April 26, 2022Publication date: October 27, 2022Inventors: Razik YOUSFI, Peter SCHUEFFLER, Thomas FRESNEAU, Alexander TSEMA
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Patent number: 11443408Abstract: A method for processing an electronic image including receiving, by a viewer, the electronic image and a FOV (field of view), wherein the FOV includes at least one coordinate, at least one dimension, and a magnification factor, loading, by the viewer, a plurality of tiles within the FOV, determining, by the viewer, a state of the plurality of tiles in a cache, and in response to determining that the state of the plurality of tiles in the cache is a fully loaded state, rendering, by the viewer, the plurality of tiles to a display.Type: GrantFiled: November 24, 2021Date of Patent: September 13, 2022Assignee: PAIGE.AI, INC.Inventors: Alexandre Kirszenberg, Razik Yousfi, Thomas Fresneau, Peter Schueffler
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Patent number: 11430116Abstract: Systems and methods are disclosed for identifying formerly conjoined pieces of tissue in a specimen, comprising receiving one or more digital images associated with a pathology specimen, identifying a plurality of pieces of tissue by applying an instance segmentation system to the one or more digital images, the instance segmentation system having been generated by processing a plurality of training images, determining, using the instance segmentation system, a prediction of whether any of the plurality of pieces of tissue were formerly conjoined, and outputting at least one instance segmentation to a digital storage device and/or display, the instance segmentation comprising an indication of whether any of the plurality of pieces of tissue were formerly conjoined.Type: GrantFiled: September 9, 2021Date of Patent: August 30, 2022Assignee: PAIGE.AI, Inc.Inventors: Antoine Sainson, Brandon Rothrock, Razik Yousfi, Patricia Raciti, Matthew Hanna, Christopher Kanan
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Patent number: 11430117Abstract: Systems and methods are disclosed for identifying formerly conjoined pieces of tissue in a specimen, comprising receiving one or more digital images associated with a pathology specimen, identifying a plurality of pieces of tissue by applying an instance segmentation system to the one or more digital images, the instance segmentation system having been generated by processing a plurality of training images, determining, using the instance segmentation system, a prediction of whether any of the plurality of pieces of tissue were formerly conjoined, and outputting at least one instance segmentation to a digital storage device and/or display, the instance segmentation comprising an indication of whether any of the plurality of pieces of tissue were formerly conjoined.Type: GrantFiled: October 4, 2021Date of Patent: August 30, 2022Assignee: PAIGE.AI, Inc.Inventors: Antoine Sainson, Brandon Rothrock, Razik Yousfi, Patricia Raciti, Matthew Hanna, Christopher Kanan
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Patent number: 11416963Abstract: A method for processing an electronic image including receiving, by a viewer, the electronic image and a FOV (field of view), wherein the FOV includes at least one coordinate, at least one dimension, and a magnification factor, loading, by the viewer, a plurality of tiles within the FOV, determining, by the viewer, a state of the plurality of tiles in a cache, and in response to determining that the state of the plurality of tiles in the cache is a fully loaded state, rendering, by the viewer, the plurality of tiles to a display.Type: GrantFiled: August 10, 2021Date of Patent: August 16, 2022Assignee: PAIGE.AI, INC.Inventors: Alexandre Kirszenberg, Razik Yousfi, Thomas Fresneau, Peter Schueffler
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Patent number: 11386989Abstract: Systems and methods are disclosed for using an integrated computing platform to view and transfer digital pathology slides using artificial intelligence, the method including receiving at least one whole slide image in a cloud computing environment located in a first geographic region, the whole slide image depicting a medical sample associated with a patient, the patient being located in the first geographic region; storing the received whole slide image in a first encrypted bucket; applying artificial intelligence to perform a classification of the at least one whole slide image, the classification comprising steps to determine whether portions of the medical sample depicted in the whole slide image are healthy or diseased; based on the classification of the at least one whole slide image, generating metadata associated with the whole slide image; and storing the metadata in a second encrypted bucket.Type: GrantFiled: November 18, 2021Date of Patent: July 12, 2022Assignee: Paige.AI, Inc.Inventors: Razik Yousfi, Peter Schueffler, Thomas Fresneau, Alexander Tsema