Patents by Inventor Ashwini Kshirsagar
Ashwini Kshirsagar 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: 20240169958Abstract: The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.Type: ApplicationFiled: October 24, 2023Publication date: May 23, 2024Applicant: Hologic, Inc.Inventors: Kevin Kreeger, Andrew P. Smith, Ashwini Kshirsagar, Jun Ge, Xiangwei Zhang, Haili Chui, Christopher Ruth, Yiheng Zhang, Liyang Wei, Jay Stein
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Publication number: 20240023916Abstract: A method of imaging a breast of a patient using an imaging system includes applying, with a first component of the imaging system, a compressive force to the breast. A second component of the imaging system is positioned in a start position. The imaging system sends a first guidance signal to the patient. An imaging procedure of the breast is performed with the second component of the imaging system. Subsequent to performing the imaging procedure, a second guidance signal is sent to the patient.Type: ApplicationFiled: July 10, 2023Publication date: January 25, 2024Applicant: Hologic, Inc.Inventors: John W. ROBINSON, Kenneth DEFREITAS, Adrian HUNSDON, Rachel CHANDLER, Ashwini KSHIRSAGAR, David WOLFF, Alan REGO
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Publication number: 20240021297Abstract: Examples of the present disclosure describe systems and methods for predicting the reading time and/or reading complexity of a breast image. In aspects, a first set of data relating to the reading time of breast images may be collected from one or more data sources, such as image acquisition workstations, image review workstations, and healthcare professional profile data. The first set of data may be used to train a predictive model to predict/estimate an expected reading time and/or an expected reading complexity for various breast images. Subsequently, a second set of data comprising at least one breast image may be provided as input to the trained predictive model. The trained predictive model may output an estimated reading time and/or reading complexity for the breast image. The output of the trained predictive model may be used to prioritize mammographic studies or optimize the utilization of available time for radiologists.Type: ApplicationFiled: May 18, 2023Publication date: January 18, 2024Inventors: Ashwini KSHIRSAGAR, Haili CHUI, Nikolaos GKANATSIOS, Adora DSOUZA, Xiangwei ZHANG
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Patent number: 11837197Abstract: The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.Type: GrantFiled: July 20, 2022Date of Patent: December 5, 2023Assignee: Hologic, Inc.Inventors: Kevin Kreeger, Andrew P. Smith, Ashwini Kshirsagar, Jun Ge, Xiangwei Zhang, Haili Chui, Christopher Ruth, Yiheng Zhang, Liyang Wei, Jay Stein
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Patent number: 11737717Abstract: A method of imaging a breast of a patient using an imaging system includes applying, with a first component of the imaging system, a compressive force to the breast. A second component of the imaging system is positioned in a start position. The imaging system sends a first guidance signal to the patient. An imaging procedure of the breast is performed with the second component of the imaging system. Subsequent to performing the imaging procedure, a second guidance signal is sent to the patient.Type: GrantFiled: August 20, 2021Date of Patent: August 29, 2023Assignee: Hologic, Inc.Inventors: John W. Robinson, Kenneth Defreitas, Adrian Hunsdon, Rachel Chandler, Ashwini Kshirsagar, David Wolff, Alan Rego
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Patent number: 11694792Abstract: Examples of the present disclosure describe systems and methods for predicting the reading time and/or reading complexity of a breast image. In aspects, a first set of data relating to the reading time of breast images may be collected from one or more data sources, such as image acquisition workstations, image review workstations, and healthcare professional profile data. The first set of data may be used to train a predictive model to predict/estimate an expected reading time and/or an expected reading complexity for various breast images. Subsequently, a second set of data comprising at least one breast image may be provided as input to the trained predictive model. The trained predictive model may output an estimated reading time and/or reading complexity for the breast image. The output of the trained predictive model may be used to prioritize mammographic studies or optimize the utilization of available time for radiologists.Type: GrantFiled: September 25, 2020Date of Patent: July 4, 2023Assignee: Hologic, Inc.Inventors: Ashwini Kshirsagar, Haili Chui, Nikolaos Gkanatsios, Adora Dsouza, Xiangwei Zhang
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Publication number: 20230053489Abstract: The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.Type: ApplicationFiled: July 20, 2022Publication date: February 23, 2023Applicant: Hologic, Inc.Inventors: Kevin Kreeger, Andrew P. Smith, Ashwini Kshirsagar, Jun Ge, Xiangwei Zhang, Haili Chui, Christopher Ruth, Yiheng Zhang, Liyang Wei, Jay Stein
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Patent number: 11508340Abstract: The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.Type: GrantFiled: April 1, 2021Date of Patent: November 22, 2022Assignee: Hologic, Inc.Inventors: Kevin Kreeger, Andrew P. Smith, Ashwini Kshirsagar, Jun Ge, Yiheng Zhang, Haili Chui, Christopher Ruth, Xiangwei Zhang, Liyang Wei, Jay Stein
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Publication number: 20220164586Abstract: Examples of the present disclosure describe systems and methods for using AI to identify regions of interest (ROI) in medical images. In aspects, medical reports and images may be provided to a second environment. The second environment may use the medical report data/medical images to train a natural language processing (NLP)-based algorithm to identify the location in images of ROI described in the medical report data. The output of the NLP-based algorithm may be stored in an ROI repository in the second environment. After the NLP-based algorithm has been trained, a request to train a user-specific model may be received in a first environment. Data objects for the requested user-specific model may be provided to the second environment, which uses the ROI repository to train the model. The trained model may be provided to the first environment, where the trained user-specific model/algorithm may be tested and stored.Type: ApplicationFiled: November 22, 2021Publication date: May 26, 2022Applicant: Hologic, Inc.Inventors: Haili Chui, Nikolaos Gkanatsios, Zhenxue Jing, Ashwini Kshirsagar, Samir Parikh, Venky Vaddineni
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Publication number: 20220164951Abstract: Examples of the present disclosure describe systems and methods for using AI to identify regions of interest (ROI) in medical images. In aspects, medical reports and images may be provided to a first environment. The first environment may use the medical report data/medical images to train a natural language processing (NLP)-based algorithm to identify the location in images of ROI described in the medical report data. The output of the NLP-based algorithm may be stored in an ROI repository in the first environment. After the NLP-based algorithm has been trained, a request to train a user-specific model may be received in a second environment. Data objects for the requested user-specific model may be provided to the first environment, which uses the ROI repository to train the model. The trained model may be provided to the second environment, where the trained user-specific model/algorithm may be tested and stored.Type: ApplicationFiled: November 19, 2021Publication date: May 26, 2022Applicant: Hologic, Inc.Inventors: Haili Chui, Nikolaos Gkanatsios, Zhenxue Jing, Ashwini Kshirsagar, Samir Parikh, Venky Vaddineni
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Publication number: 20220087629Abstract: A method of imaging a breast of a patient using an imaging system includes applying, with a first component of the imaging system, a compressive force to the breast. A second component of the imaging system is positioned in a start position. The imaging system sends a first guidance signal to the patient. An imaging procedure of the breast is performed with the second component of the imaging system. Subsequent to performing the imaging procedure, a second guidance signal is sent to the patient.Type: ApplicationFiled: August 20, 2021Publication date: March 24, 2022Applicant: Hologic, Inc.Inventors: John W. ROBINSON, Kenneth DEFREITAS, Adrian HUNSDON, Rachel CHANDLER, Ashwini KSHIRSAGAR, David WOLFF, Alan REGO
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Publication number: 20220013089Abstract: The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.Type: ApplicationFiled: April 1, 2021Publication date: January 13, 2022Applicant: HOLOGIC, INC.Inventors: Kevin Kreeger, Andrew P. Smith, Ashwini Kshirsagar, Jun Ge, Yiheng Zhang, Haili Chui, Christopher Ruth, Xiangwei Zhang, Liyang Wei, Jay Stein
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Patent number: 10978026Abstract: The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.Type: GrantFiled: February 14, 2020Date of Patent: April 13, 2021Assignee: Hologic, Inc.Inventors: Kevin Kreeger, Andrew P. Smith, Ashwini Kshirsagar, Jun Ge, Yiheng Zhang, Haili Chui, Christopher Ruth, Xiangwei Zhang, Liyang Wei, Jay Stein
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Publication number: 20210098120Abstract: Examples of the present disclosure describe systems and methods for predicting the reading time and/or reading complexity of a breast image. In aspects, a first set of data relating to the reading time of breast images may be collected from one or more data sources, such as image acquisition workstations, image review workstations, and healthcare professional profile data. The first set of data may be used to train a predictive model to predict/estimate an expected reading time and/or an expected reading complexity for various breast images. Subsequently, a second set of data comprising at least one breast image may be provided as input to the trained predictive model. The trained predictive model may output an estimated reading time and/or reading complexity for the breast image. The output of the trained predictive model may be used to prioritize mammographic studies or optimize the utilization of available time for radiologists.Type: ApplicationFiled: September 25, 2020Publication date: April 1, 2021Inventors: Ashwini KSHIRSAGAR, Haili CHUI, Nikolaos GKANATSIOS, Adora DSOUZA, Xiangwei ZHANG
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Publication number: 20210035680Abstract: Examples of the present disclosure describe systems and methods for automating clinical workflow decisions. In aspects, patient data may be collected from multiple data sources, such as patient records, imaging data, etc. The patient data may be processed using an artificial intelligence (AI) component. The output of the AI component may be used by healthcare professionals to inform healthcare decisions for patients. The output of the AI component and additional information relating to the healthcare decisions and healthcare paths may be provided as input to a decision analysis component. The decision analysis component may process the input and output an automated healthcare recommendation that may be used to further inform the healthcare decisions of the healthcare professionals. In some aspects, the output of the decision analysis component may be used to determine a priority or timeline for performing one or more actions relating to patient healthcare.Type: ApplicationFiled: July 31, 2020Publication date: February 4, 2021Inventors: Biao CHEN, Zhenxue JING, Ashwini KSHIRSAGAR, Nikolaos GKANATSIOS, Haili CHUI
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Publication number: 20200258479Abstract: The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.Type: ApplicationFiled: February 14, 2020Publication date: August 13, 2020Applicant: HOLOGIC, INC.Inventors: Kevin Kreeger, Andrew P. Smith, Ashwini Kshirsagar, Jun Ge, Yiheng Zhang, Haili Chui, Christopher Ruth, Xiangwei Zhang, Liyang Wei, Jay Stein
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Publication number: 20200178926Abstract: Methods and systems for imaging. For example, a system may include a breast compression paddle, an imaging detector, at least one sensor incorporated into at least one of the breast compression paddle or the imaging detector. The system performs operations including generating, at a first time point, first spatial data of the breast based on data captured by the at least one sensor; generating, at a second time point, second spatial data of the breast based on data captured by the at least one sensor; based on the first spatial data and the second spatial data, determining an amount of motion of the breast that occurred; and based on the determined amount of motion performing at least one of: generating a motion map for the breast; discarding one or more acquired projections for use in generating a tomosynthesis reconstruction; or correcting a medical image acquired the second time point.Type: ApplicationFiled: January 31, 2020Publication date: June 11, 2020Applicant: Hologic, Inc.Inventors: Ashwini Kshirsagar, Nikolaos Gkanatsios, John Laviola
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Patent number: 10573276Abstract: The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.Type: GrantFiled: June 20, 2018Date of Patent: February 25, 2020Assignee: Hologic, Inc.Inventors: Kevin Kreeger, Andrew P. Smith, Ashwini Kshirsagar, Jun Ge, Yiheng Zhang, Haili Chui, Christopher Ruth, Xiangwei Zhang, Liyang Wei, Jay Stein
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Publication number: 20190043456Abstract: The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.Type: ApplicationFiled: June 20, 2018Publication date: February 7, 2019Inventors: Kevin Kreeger, Andrew P. Smith, Ashwini Kshirsagar, Jun Ge, Yiheng Zhang, Haili Chui, Christopher Ruth, Xiangwei Zhang, Liyang Wei, Jay Stein
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Patent number: 10008184Abstract: The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.Type: GrantFiled: November 26, 2012Date of Patent: June 26, 2018Assignee: Hologic, Inc.Inventors: Kevin Kreeger, Andrew P. Smith, Ashwini Kshirsagar, Jun Ge, Yiheng Zhang, Haili Chui, Christopher Ruth, Xiangwei Zhang, Liyang Wei, Jay Stein