Patents by Inventor Diogo Almeida
Diogo Almeida 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).
-
Publication number: 20230059754Abstract: A server system provides one or more element applications configured to render document elements, including generating visualization data representations for generating the document elements, in particular on the basis of data obtained from one or more data sources; executing a graphical user interface for access by a user on one or more client computers, each client computer or user thereof being associated with a respective tenant of one or more tenants, wherein the client computers are communicably connected with the server system via one or more communication networks; wherein one or more document applications are provided for generating electronic documents upon request of a respective client computer or user thereof for being displayed and/or for printing purposes, the one or more document applications being executed on the one or more client computers and/or on one or more servers of the server system.Type: ApplicationFiled: January 28, 2020Publication date: February 23, 2023Inventors: Carlos Manuel DA SILVA BAPTISTA RUSSO, Duarte Maria ELIAS DA COSTA DA CUNHA LEÃO, Guilherme COELHO BARREIRA RAIMUNDO, Marco Paulo DE SOUSA CORREIA VALA, Nelson Diogo ALMEIDA ANTUNES
-
Patent number: 11256486Abstract: A computer program product comprising computer-readable instructions that, when executed in a computer system including one or more computers, cause the computer system to generate or update a user interface of a software application, the computer program product including programmably interconnected objects, said objects including one or more model objects, one or more view objects, and one or more controller objects, wherein each model object is interconnected for data exchange with one or more view objects and/or with one or more controller objects; and each model object includes one or more sub-model objects including hierarchically structured data and representing a state of the user interface; and each view object is associated with at least one model object or at least one sub-model object and configured to generate the user interface or update the user interface in accordance with a change of the state.Type: GrantFiled: January 28, 2020Date of Patent: February 22, 2022Assignee: HITACHI VANTARA LLCInventors: Carlos Manuel Da Silva Baptista Russo, Duarte Maria Elias Da Costa Da Cunha Leão, Guilherme Coelho Barreira Raimundo, Marco Paulo De Sousa Correia Vala, Nelson Diogo Almeida Antunes
-
Publication number: 20210232372Abstract: A computer program product comprising computer-readable instructions that, when executed in a computer system including one or more computers, cause the computer system to generate or update a user interface of a software application, the computer program product including programmably interconnected objects, said objects including one or more model objects, one or more view objects, and one or more controller objects, wherein each model object is interconnected for data exchange with one or more view objects and/or with one or more controller objects; and each model object includes one or more sub-model objects including hierarchically structured data and representing a state of the user interface; and each view object is associated with at least one model object or at least one sub-model object and configured to generate the user interface or update the user interface in accordance with a change of the state.Type: ApplicationFiled: January 28, 2020Publication date: July 29, 2021Inventors: Carlos Manuel DA SILVA BAPTISTA RUSSO, Duarte Maria ELIAS DA COSTA DA CUNHA LEÃO, Guilherme COELHO BARREIRA RAIMUNDO, Marco Paulo DE SOUSA CORREIA VALA, Nelson Diogo ALMEIDA ANTUNES
-
Patent number: 10930387Abstract: A chest x-ray differential diagnosis system is operable to generate abnormality pattern data is generated for each of a received plurality of chest x-rays by identifying at least one pattern in each chest x-ray corresponding to an abnormality by utilizing a computer vision model that is trained on a plurality of training chest x-rays. Differential diagnosis data is generated for each chest x-ray based on the abnormality pattern data. Filtering parameters are received from a client device, and a filtered chest x-ray queue that includes a subset of chest x-rays is selected based on the filtering parameters and the differential diagnosis data is generated for transmission to the client device for display. Differential diagnosis data corresponding a chest x-ray indicated in chest x-ray selection data received from the client device is transmitted to the client device for display via the display device in conjunction with the chest x-ray.Type: GrantFiled: December 10, 2019Date of Patent: February 23, 2021Assignee: Enlitic, Inc.Inventors: Kevin Lyman, Devon Bernard, Li Yao, Diogo Almeida, Ben Covington, Anthony Upton
-
Patent number: 10896753Abstract: A lung screening assessment system is operable to receive a chest computed tomography (CT) scan that includes a plurality of cross sectional images. Nodule classification data of the chest CT scan is generated by utilizing a computer vision model that is trained on a plurality of training chest CT scans to identify a nodule in the plurality of cross sectional images and determine an assessment score. A lung screening report that includes the assessment score of the nodule classification data is generated for display on a display device associated with a user of the lung screening assessment system.Type: GrantFiled: December 10, 2019Date of Patent: January 19, 2021Assignee: Enlitic, Inc.Inventors: Kevin Lyman, Devon Bernard, Li Yao, Ben Covington, Diogo Almeida, Brian Basham, Jeremy Howard, Anthony Upton, John Zedlewski
-
Patent number: 10748652Abstract: A medical scan image analysis system is operable to receive a plurality of medical scans that represent a three-dimensional anatomical region and include a plurality of cross-sectional image slices. A plurality of three-dimensional subregions corresponding to each of the plurality of medical scans are generated by selecting a proper subset of the plurality of cross-sectional image slices from each medical scan, and by further selecting a two-dimensional subregion from each proper subset of cross-sectional image slices. A learning algorithm is performed on the plurality of three-dimensional subregions to generate a fully convolutional neural network. Inference data corresponding to a new medical scan received via the network is generated by performing an inference algorithm on the new medical scan by utilizing the fully convolutional neural network. An inferred abnormality is identified in the new medical scan based on the inference data.Type: GrantFiled: May 23, 2019Date of Patent: August 18, 2020Assignee: Enlitic, Inc.Inventors: Li Yao, Devon Bernard, Kevin Lyman, Diogo Almeida, Jeremy Howard
-
Publication number: 20200111562Abstract: A chest x-ray differential diagnosis system is operable to generate abnormality pattern data is generated for each of a received plurality of chest x-rays by identifying at least one pattern in each chest x-ray corresponding to an abnormality by utilizing a computer vision model that is trained on a plurality of training chest x-rays. Differential diagnosis data is generated for each chest x-ray based on the abnormality pattern data. Filtering parameters are received from a client device, and a filtered chest x-ray queue that includes a subset of chest x-rays is selected based on the filtering parameters and the differential diagnosis data is generated for transmission to the client device for display. Differential diagnosis data corresponding a chest x-ray indicated in chest x-ray selection data received from the client device is transmitted to the client device for display via the display device in conjunction with the chest x-ray.Type: ApplicationFiled: December 10, 2019Publication date: April 9, 2020Applicant: Enlitic, Inc.Inventors: Kevin Lyman, Devon Bernard, Li Yao, Diogo Almeida, Ben Covington, Anthony Upton
-
Publication number: 20200111561Abstract: A lung screening assessment system is operable to receive a chest computed tomography (CT) scan that includes a plurality of cross sectional images. Nodule classification data of the chest CT scan is generated by utilizing a computer vision model that is trained on a plurality of training chest CT scans to identify a nodule in the plurality of cross sectional images and determine an assessment score. A lung screening report that includes the assessment score of the nodule classification data is generated for display on a display device associated with a user of the lung screening assessment system.Type: ApplicationFiled: December 10, 2019Publication date: April 9, 2020Applicant: Enlitic, Inc.Inventors: Kevin Lyman, Devon Bernard, Li Yao, Ben Covington, Diogo Almeida, Brian Basham, Jeremy Howard, Anthony Upton, John Zedlewski
-
Patent number: 10553311Abstract: A lung screening assessment system is operable to receive a chest computed tomography (CT) scan that includes a plurality of cross sectional images. Nodule classification data of the chest CT scan is generated by utilizing a computer vision model that is trained on a plurality of training chest CT scans to identify a nodule in the plurality of cross sectional images and determine an assessment score. A lung screening report that includes the assessment score of the nodule classification data is generated for display on a display device associated with a user of the lung screening assessment system.Type: GrantFiled: August 30, 2017Date of Patent: February 4, 2020Assignee: Enlitic, Inc.Inventors: Kevin Lyman, Devon Bernard, Li Yao, Ben Covington, Diogo Almeida, Brian Basham, Jeremy Howard, Anthony Upton, John Zedlewski
-
Patent number: 10541050Abstract: A chest x-ray differential diagnosis system is operable to generate abnormality pattern data is generated for each of a received plurality of chest x-rays by identifying at least one pattern in each chest x-ray corresponding to an abnormality by utilizing a computer vision model that is trained on a plurality of training chest x-rays. Differential diagnosis data is generated for each chest x-ray based on the abnormality pattern data. Filtering parameters are received from a client device, and a filtered chest x-ray queue that includes a subset of chest x-rays is selected based on the filtering parameters and the differential diagnosis data is generated for transmission to the client device for display. Differential diagnosis data corresponding a chest x-ray indicated in chest x-ray selection data received from the client device is transmitted to the client device for display via the display device in conjunction with the chest x-ray.Type: GrantFiled: October 24, 2018Date of Patent: January 21, 2020Assignee: Enlitic, Inc.Inventors: Kevin Lyman, Devon Bernard, Li Yao, Diogo Almeida, Ben Covington, Anthony Upton
-
Publication number: 20190279760Abstract: A medical scan image analysis system is operable to receive a plurality of medical scans that represent a three-dimensional anatomical region and include a plurality of cross-sectional image slices. A plurality of three-dimensional subregions corresponding to each of the plurality of medical scans are generated by selecting a proper subset of the plurality of cross-sectional image slices from each medical scan, and by further selecting a two-dimensional subregion from each proper subset of cross-sectional image slices. A learning algorithm is performed on the plurality of three-dimensional subregions to generate a fully convolutional neural network. Inference data corresponding to a new medical scan received via the network is generated by performing an inference algorithm on the new medical scan by utilizing the fully convolutional neural network. An inferred abnormality is identified in the new medical scan based on the inference data.Type: ApplicationFiled: May 23, 2019Publication date: September 12, 2019Applicant: Enlitic, Inc.Inventors: Li Yao, Devon Bernard, Kevin Lyman, Diogo Almeida, Jeremy Howard
-
Patent number: 10340044Abstract: A medical scan image analysis system is operable to receive a plurality of medical scans that represent a three-dimensional anatomical region and include a plurality of cross-sectional image slices. A plurality of three-dimensional subregions corresponding to each of the plurality of medical scans are generated by selecting a proper subset of the plurality of cross-sectional image slices from each medical scan, and by further selecting a two-dimensional subregion from each proper subset of cross-sectional image slices. A learning algorithm is performed on the plurality of three-dimensional subregions to generate a fully convolutional neural network. Inference data corresponding to a new medical scan received via the network is generated by performing an inference algorithm on the new medical scan by utilizing the fully convolutional neural network. An inferred abnormality is identified in the new medical scan based on the inference data.Type: GrantFiled: August 30, 2017Date of Patent: July 2, 2019Assignee: Enlitic, Inc.Inventors: Li Yao, Devon Bernard, Kevin Lyman, Diogo Almeida, Jeremy Howard
-
Publication number: 20190066835Abstract: A chest x-ray differential diagnosis system is operable to generate abnormality pattern data is generated for each of a received plurality of chest x-rays by identifying at least one pattern in each chest x-ray corresponding to an abnormality by utilizing a computer vision model that is trained on a plurality of training chest x-rays. Differential diagnosis data is generated for each chest x-ray based on the abnormality pattern data. Filtering parameters are received from a client device, and a filtered chest x-ray queue that includes a subset of chest x-rays is selected based on the filtering parameters and the differential diagnosis data is generated for transmission to the client device for display. Differential diagnosis data corresponding a chest x-ray indicated in chest x-ray selection data received from the client device is transmitted to the client device for display via the display device in conjunction with the chest x-ray.Type: ApplicationFiled: October 24, 2018Publication date: February 28, 2019Applicant: Enlitic, Inc.Inventors: Kevin Lyman, Devon Bernard, Li Yao, Diogo Almeida, Ben Covington, Anthony Upton
-
Patent number: 10152571Abstract: A chest x-ray differential diagnosis system is operable to generate abnormality pattern data is generated for each of a received plurality of chest x-rays by identifying at least one pattern in each chest x-ray corresponding to an abnormality by utilizing a computer vision model that is trained on a plurality of training chest x-rays. Differential diagnosis data is generated for each chest x-ray based on the abnormality pattern data. Filtering parameters are received from a client device, and a filtered chest x-ray queue that includes a subset of chest x-rays is selected based on the filtering parameters and the differential diagnosis data is generated for transmission to the client device for display. Differential diagnosis data corresponding a chest x-ray indicated in chest x-ray selection data received from the client device is transmitted to the client device for display via the display device in conjunction with the chest x-ray.Type: GrantFiled: June 20, 2017Date of Patent: December 11, 2018Assignee: Enlitic, Inc.Inventors: Kevin Lyman, Devon Bernard, Li Yao, Diogo Almeida, Ben Covington, Anthony Upton
-
Publication number: 20180342060Abstract: A medical scan image analysis system is operable to receive a plurality of medical scans that represent a three-dimensional anatomical region and include a plurality of cross-sectional image slices. A plurality of three-dimensional subregions corresponding to each of the plurality of medical scans are generated by selecting a proper subset of the plurality of cross-sectional image slices from each medical scan, and by further selecting a two-dimensional subregion from each proper subset of cross-sectional image slices. A learning algorithm is performed on the plurality of three-dimensional subregions to generate a fully convolutional neural network. Inference data corresponding to a new medical scan received via the network is generated by performing an inference algorithm on the new medical scan by utilizing the fully convolutional neural network. An inferred abnormality is identified in the new medical scan based on the inference data.Type: ApplicationFiled: August 30, 2017Publication date: November 29, 2018Applicant: Enlitic, Inc.Inventors: Li Yao, Devon Bernard, Kevin Lyman, Diogo Almeida, Jeremy Howard
-
Publication number: 20180341748Abstract: A chest x-ray differential diagnosis system is operable to generate abnormality pattern data is generated for each of a received plurality of chest x-rays by identifying at least one pattern in each chest x-ray corresponding to an abnormality by utilizing a computer vision model that is trained on a plurality of training chest x-rays. Differential diagnosis data is generated for each chest x-ray based on the abnormality pattern data. Filtering parameters are received from a client device, and a filtered chest x-ray queue that includes a subset of chest x-rays is selected based on the filtering parameters and the differential diagnosis data is generated for transmission to the client device for display. Differential diagnosis data corresponding a chest x-ray indicated in chest x-ray selection data received from the client device is transmitted to the client device for display via the display device in conjunction with the chest x-ray.Type: ApplicationFiled: June 20, 2017Publication date: November 29, 2018Applicant: Enlitic, Inc.Inventors: Kevin Lyman, Devon Bernard, Li Yao, Diogo Almeida, Ben Covington, Anthony Upton
-
Publication number: 20180338741Abstract: A lung screening assessment system is operable to receive a chest computed tomography (CT) scan that includes a plurality of cross sectional images. Nodule classification data of the chest CT scan is generated by utilizing a computer vision model that is trained on a plurality of training chest CT scans to identify a nodule in the plurality of cross sectional images and determine an assessment score. A lung screening report that includes the assessment score of the nodule classification data is generated for display on a display device associated with a user of the lung screening assessment system.Type: ApplicationFiled: August 30, 2017Publication date: November 29, 2018Applicant: Enlitic, Inc.Inventors: Kevin Lyman, Devon Bernard, Li Yao, Ben Covington, Diogo Almeida, Brian Basham, Jeremy Howard, Anthony Upton, John Zedlewski