Patents by Inventor BENJAMIN IRVINE
BENJAMIN IRVINE 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: 11935634Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.Type: GrantFiled: August 30, 2017Date of Patent: March 19, 2024Assignee: Google LLCInventors: Alexander Mossin, Alvin Rajkomar, Eyal Oren, James Wilson, James Wexler, Patrik Sundberg, Andrew Dai, Yingwei Cui, Gregory Corrado, Hector Yee, Jacob Marcus, Jeffrey Dean, Benjamin Irvine, Kai Chen, Kun Zhang, Michaela Hardt, Xiaomi Sun, Nissan Hajaj, Peter Junteng Liu, Quoc Le, Xiaobing Liu, Yi Zhang
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Patent number: 11830592Abstract: A model-assisted system for determining a patient event date may include a processor. The processor may be programmed to access a database storing a medical record associated with a patient, the medical record comprising unstructured data; analyze the unstructured data to identify a plurality of snippets of information in the medical record associated with a patient event; determine a date associated with each of the plurality of snippets, identify a plurality of query periods associated with the patient event; and generate, for each of the query periods, a probability of whether the patient event occurred during the query period based on the plurality of snippets and the associated dates.Type: GrantFiled: March 4, 2022Date of Patent: November 28, 2023Assignee: Flatiron Health, Inc.Inventors: Alexander Rich, Barry Leybovich, Benjamin Irvine, Nisha Singh, Benjamin Birnbaum
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Patent number: 11734345Abstract: The various implementations disclosed herein pertain to methods and systems for detecting a state of monitored objects in a premises. In one aspect, a method is performed at a computer system that is communicably coupled to sensor devices. The computer system receives and processes information of acoustic signals against a database of stored acoustic signatures characterizing predefined acoustic signals generated by electrically non-powered passive tags in response to physical motion of respective monitored objects associated with the passive tags. It receives a first acoustic signal characterized by a first acoustic signature and generated by a first passive tag. In response to the receiving, based on the first acoustic signature and information in the database, it identifies the first monitored object associated with the first acoustic signature, determines a first state of the first monitored object, and provides a notification of the first state to an occupant of the premises.Type: GrantFiled: November 10, 2021Date of Patent: August 22, 2023Assignee: Google LLCInventors: Harry Tannenbaum, Benjamin Irvine, Shayan Sayadi, James Van Hook Singer
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Publication number: 20220284999Abstract: A model-assisted system for determining a patient event date may include a processor. The processor may be programmed to access a database storing a medical record associated with a patient, the medical record comprising unstructured data; analyze the unstructured data to identify a plurality of snippets of information in the medical record associated with a patient event; determine a date associated with each of the plurality of snippets, identify a plurality of query periods associated with the patient event; and generate, for each of the query periods, a probability of whether the patient event occurred during the query period based on the plurality of snippets and the associated dates.Type: ApplicationFiled: March 4, 2022Publication date: September 8, 2022Inventors: Alexander Rich, Barry Leybovich, Benjamin Irvine, Nisha Singh, Benjamin Birnbaum
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Patent number: 11398299Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.Type: GrantFiled: August 30, 2017Date of Patent: July 26, 2022Assignee: Google LLCInventors: Kai Chen, Patrik Sundberg, Alexander Mossin, Nissan Hajaj, Kurt Litsch, James Wexler, Yi Zhang, Kun Zhang, Jacob Marcus, Eyal Oren, Hector Yee, Jeffrey Dean, Michaela Hardt, Benjamin Irvine, James Wilson, Andrew Dai, Peter Liu, Xiaomi Sun, Quoc Le, Xiaobing Liu, Alvin Rajkomar, Gregory Corrado, Gerardo Flores, Yingwei Cui, Gavin Duggan
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Publication number: 20220067089Abstract: The various implementations disclosed herein pertain to methods and systems for detecting a state of monitored objects in a premises. In one aspect, a method is performed at a computer system that is communicably coupled to sensor devices. The computer system receives and processes information of acoustic signals against a database of stored acoustic signatures characterizing predefined acoustic signals generated by electrically non-powered passive tags in response to physical motion of respective monitored objects associated with the passive tags. It receives a first acoustic signal characterized by a first acoustic signature and generated by a first passive tag. In response to the receiving, based on the first acoustic signature and information in the database, it identifies the first monitored object associated with the first acoustic signature, determines a first state of the first monitored object, and provides a notification of the first state to an occupant of the premises.Type: ApplicationFiled: November 10, 2021Publication date: March 3, 2022Applicant: 1600 Ampitheatre ParkwayInventors: Harry Tannenbaum, Benjamin Irvine, Shayan Sayadi, James Van Hook Singer
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Patent number: 11200277Abstract: The various implementations disclosed herein pertain to methods and systems for detecting a state of monitored objects in a premises. In one aspect, a method is performed at a computer system that is communicably coupled to sensor devices. The computer system receives and processes information of acoustic signals against a database of stored acoustic signatures characterizing predefined acoustic signals generated by electrically non-powered passive tags in response to physical motion of respective monitored objects associated with the passive tags. It receives a first acoustic signal characterized by a first acoustic signature and generated by a first passive tag. In response to the receiving, based on the first acoustic signature and information in the database, it identifies the first monitored object associated with the first acoustic signature, determines a first state of the first monitored object, and provides a notification of the first state to an occupant of the premises.Type: GrantFiled: January 18, 2019Date of Patent: December 14, 2021Assignee: Google LLCInventors: Harry Tannenbaum, Benjamin Irvine, Shayan Sayadi, James Vanhook Singer
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Publication number: 20190155844Abstract: The various implementations disclosed herein pertain to methods and systems for detecting a state of monitored objects in a premises. In one aspect, a method is performed at a computer system that is communicably coupled to sensor devices. The computer system receives and processes information of acoustic signals against a database of stored acoustic signatures characterizing predefined acoustic signals generated by electrically non-powered passive tags in response to physical motion of respective monitored objects associated with the passive tags. It receives a first acoustic signal characterized by a first acoustic signature and generated by a first passive tag. In response to the receiving, based on the first acoustic signature and information in the database, it identifies the first monitored object associated with the first acoustic signature, determines a first state of the first monitored object, and provides a notification of the first state to an occupant of the premises.Type: ApplicationFiled: January 18, 2019Publication date: May 23, 2019Inventors: Harry Tannenbaum, Benjamin Irvine, Shayan Sayadi, James Vanhook Singer
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Patent number: 10209690Abstract: A computer system is communicably coupled to one or more sensor devices. The computer system obtains a database of stored acoustic signatures characterizing predefined acoustic signals generated by passive tags in response to physical motion of the passive tags. The passive tags are associated with non-provisioned devices, and the acoustic signatures are associated with sets of executable instructions for provisioning the non-provisioned devices. A first acoustic signal characterized by a respective acoustic signature and generated by a first passive tag is detected. In response, and based on the respective acoustic signature and information in the database, a first non-provisioned device associated with the respective acoustic signature is identified, and a first set of executable instructions for provisioning the first non-provisioned device is identified.Type: GrantFiled: January 15, 2016Date of Patent: February 19, 2019Assignee: GOOGLE LLCInventors: Harry Tannenbaum, Benjamin Irvine, Shayan Sayadi, James Vanhook Singer
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Publication number: 20190034591Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.Type: ApplicationFiled: August 30, 2017Publication date: January 31, 2019Inventors: Alexander Mossin, Alvin Rajkomar, Eyal Oren, James Wilson, James Wexler, Patrik Sundberg, Andrew Dai, Yingwei Cui, Gregory Corrado, Hector Yee, Jacob Marcus, Jeffrey Dean, Benjamin Irvine, Kai Chen, Kun Zhang, Michaela Hardt, Xiaomi Sun, Nissan Hajaj, Peter Liu, Quoc Le, Xiaobing Liu, Yi Zhang
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Publication number: 20190034589Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.Type: ApplicationFiled: August 30, 2017Publication date: January 31, 2019Inventors: Kai Chen, Patrik Sundberg, Alexander Mossin, Nissan Hajaj, Kurt Litsch, James Wexler, Yi Zhang, Kun Zhang, Jacob Marcus, Eyal Oren, Hector Yee, Jeffrey Dean, Michaela Hardt, Benjamin Irvine, James Wilson, Andrew Dai, Peter Liu, Xiaomi Sun, Quoc Le, Xiaobing Liu, Alvin Rajkomar, Gregory Corrado, Gerardo Flores, Yingwei Cui, Gavin Duggan
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Patent number: 10185766Abstract: A computer system is communicably coupled to one or more sensor devices. The computer system obtains a database of stored acoustic signatures characterizing predefined acoustic signals generated by passive tags in response to physical motion of respective monitored objects associated with the passive tags. A first acoustic signal characterized by a respective acoustic signature and generated by a first passive tag is detected. In response, and based on the respective acoustic signature and information in the database, a first monitored object associated with the respective acoustic signature is identified, and a first state of the first monitored object is determined. The determined first state is stored in the database, and an indication of the first state is provided to an associated monitoring service.Type: GrantFiled: January 15, 2016Date of Patent: January 22, 2019Assignee: GOOGLE LLCInventors: Harry Tannenbaum, Benjamin Irvine, Shayan Sayadi, James Vanhook Singer
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Publication number: 20170205783Abstract: A computer system is communicably coupled to one or more sensor devices. The computer system obtains a database of stored acoustic signatures characterizing predefined acoustic signals generated by passive tags in response to physical motion of the passive tags. The passive tags are associated with non-provisioned devices, and the acoustic signatures are associated with sets of executable instructions for provisioning the non-provisioned devices. A first acoustic signal characterized by a respective acoustic signature and generated by a first passive tag is detected. In response, and based on the respective acoustic signature and information in the database, a first non-provisioned device associated with the respective acoustic signature is identified, and a first set of executable instructions for provisioning the first non-provisioned device is identified.Type: ApplicationFiled: January 15, 2016Publication date: July 20, 2017Inventors: HARRY TANNENBAUM, BENJAMIN IRVINE, SHAYAN SAYADI, JAMES VANHOOK SINGER
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Publication number: 20170206273Abstract: A computer system is communicably coupled to one or more sensor devices. The computer system obtains a database of stored acoustic signatures characterizing predefined acoustic signals generated by passive tags in response to physical motion of respective monitored objects associated with the passive tags. A first acoustic signal characterized by a respective acoustic signature and generated by a first passive tag is detected. In response, and based on the respective acoustic signature and information in the database, a first monitored object associated with the respective acoustic signature is identified, and a first state of the first monitored object is determined. The determined first state is stored in the database, and an indication of the first state is provided to an associated monitoring service.Type: ApplicationFiled: January 15, 2016Publication date: July 20, 2017Inventors: HARRY TANNENBAUM, BENJAMIN IRVINE, SHAYAN SAYADI, JAMES VANHOOK SINGER