Patents by Inventor Pooja Rao
Pooja Rao 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: 20220374795Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive utility evaluation for a utility measure value given a defined demographic profile. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive utility evaluation for a utility measure value given a defined demographic profile by utilizing mappings across risk domains and evaluation domains to generate predicted utility scores based at least in part on utility distribution measures that are determined based at least in part on risk distribution measures, for example based at least in part on relationships between a predicted utility score and a distribution of predicted utility scores for a plurality of utility discretization categories.Type: ApplicationFiled: September 7, 2021Publication date: November 24, 2022Inventors: Lun Yu, Huzaifa Sial, Pooja Rao
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Publication number: 20220375616Abstract: Methods, apparatuses, systems, computing devices, computing entities, and/or the like are provided. An example method may include retrieving a client profile data object based at least in part on a client identifier indicator, determining a plurality of point indicators based at least in part on the at least one client activity data object, generating an activity score data object associated with the client profile data object, generating a composite score data object, and performing at least one score-based action based at least in part on the composite score data object and the client profile data object.Type: ApplicationFiled: August 17, 2021Publication date: November 24, 2022Inventors: Lun YU, Huzaifa SIAL, Pooja RAO
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Patent number: 11508065Abstract: This disclosure generally pertains to methods and systems for automatically detecting acquisition errors in a medical image using machine learning. Certain embodiments relate to methods for the development of deep learning algorithms that perform machine recognition of specific features and conditions in imaging and other medical data. Another embodiment provides systems for detecting acquisition errors in an X-ray image, the system comprising a non-transitory computer-readable medium storing a preprocessing quality control module that, when executed by at least one electronic processor, is configured to generate associated classifications identifying characteristics of the medical image.Type: GrantFiled: March 19, 2021Date of Patent: November 22, 2022Assignee: Qure.ai Technologies Private LimitedInventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Ammar Jagirdar, Pooja Rao, Prashant Warier
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Publication number: 20220245795Abstract: This disclosure generally pertains to methods and systems for automatically detecting acquisition errors in a medical image using machine learning. Certain embodiments relate to methods for the development of deep learning algorithms that perform machine recognition of specific features and conditions in imaging and other medical data. Another embodiment provides systems for detecting acquisition errors in an X-ray image, the system comprising a non-transitory computer-readable medium storing a preprocessing quality control module that, when executed by at least one electronic processor, is configured to generate associated classifications identifying characteristics of the medical image.Type: ApplicationFiled: March 19, 2021Publication date: August 4, 2022Applicant: Qure.ai Technologies Private LimitedInventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Ammar Jagirdar, Pooja Rao, Prashant Warier
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Patent number: 11308612Abstract: This disclosure generally pertains to systems and methods for detection of infectious respiratory diseases by implementation of an automated X-rays-based triage approach alongside algorithmic clinical sample pooling for molecular diagnosis. Certain embodiments relate to methods for the development of deep learning algorithms that perform machine recognition of specific features and conditions in chest X-ray imaging data. The chest X-ray imaging data is used to guide the pooling strategy of clinical samples for a molecular test.Type: GrantFiled: June 1, 2020Date of Patent: April 19, 2022Assignee: Qure.ai Technologies Private LimitedInventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Ammar Jagirdar, Pooja Rao, Prashant Warier
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Patent number: 11278260Abstract: A method and a system for acquiring a 3D ultrasound image. The method includes receiving a request to capture a plurality of ultrasound image for a medical test corresponding to a medical condition. The method further includes determining a body part corresponding to the medical test. Further, the method includes identifying an imaging site particular to the medical test. Furthermore, the method includes providing a navigational guidance to the user in real time for positioning a handheld ultrasound device. Subsequently, the user is assisted to capture the plurality of ultrasound image of the imaging site in real time using deep learning. Further, the plurality of ultrasound images of the imaging site is captured. Finally, the method includes converting the plurality of ultrasound image to a 3-Dimensional (3D) ultrasound image in real time.Type: GrantFiled: August 25, 2021Date of Patent: March 22, 2022Assignee: QURE.AI TECHNOLOGIES PRIVATE LIMITEDInventors: Preetham Putha, Manoj Tadepalli, Prashant Warier, Pooja Rao, Rohan Sahu
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Patent number: 11276173Abstract: A system and method for predicting a lung cancer risk based on a chest X-ray in which a nodule is detected in a chest of a patient based on an analysis of the chest X-ray using an image processing technique. A region of interest associated with the nodule is identified using the image processing technique. The region of interest is further analyzed using deep learning to determine a plurality of characteristics associated with the nodule. The plurality of characteristics comprises a size of the nodule, a calcification in the nodule, a homogeneity of the nodule and a spiculation of the nodule. Further, the plurality of characteristics is compared with a trained data model using deep learning. Based on the comparison, a risk score associated with the nodule is generated. Further, the lung cancer risk is predicted when the risk score exceeds a predefined threshold value.Type: GrantFiled: July 23, 2021Date of Patent: March 15, 2022Assignee: QURE.AI TECHNOLOGIES PRIVATE LIMITEDInventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Ammar Jagirdar, Pooja Rao, Prashant Warier
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Publication number: 20210327055Abstract: This disclosure generally pertains to systems and methods for detection of infectious respiratory diseases by implementation of an automated X-rays-based triage approach alongside algorithmic clinical sample pooling for molecular diagnosis. Certain embodiments relate to methods for the development of deep learning algorithms that perform machine recognition of specific features and conditions in chest X-ray imaging data. The chest X-ray imaging data is used to guide the pooling strategy of clinical samples for a molecular test.Type: ApplicationFiled: June 1, 2020Publication date: October 21, 2021Applicant: Qure.ai Technologies Private LimitedInventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Ammar Jagirdar, Pooja Rao, Prashant Warier
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Patent number: 10755413Abstract: This disclosure generally pertains to methods and systems for processing electronic data obtained from imaging or other diagnostic and evaluative medical procedures. Certain embodiments relate to methods for the development of deep learning algorithms that perform machine recognition of specific features and conditions in imaging and other medical data. Another embodiment provides systems configured to detect and localize medical abnormalities on medical imaging scans by a deep learning algorithm.Type: GrantFiled: February 24, 2020Date of Patent: August 25, 2020Assignee: Qure.AI Technologies Private LimitedInventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Ammar Jagirdar, Pooja Rao, Prashant Warier
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Patent number: 10733727Abstract: This disclosure generally pertains to methods and systems for processing electronic data obtained from imaging or other diagnostic and evaluative medical procedures. Certain embodiments relate to methods for the development of deep learning algorithms that perform machine recognition of specific features and conditions in imaging and other medical data. Another embodiment provides systems configured to detect and localize medical abnormalities on medical imaging scans by a deep learning algorithm.Type: GrantFiled: February 6, 2019Date of Patent: August 4, 2020Assignee: Qure.AI Technologies Private LimitedInventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Nimmada, Pooja Rao, Prashant Warier
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Publication number: 20200151871Abstract: This disclosure generally pertains to methods and systems for processing electronic data obtained from imaging or other diagnostic and evaluative medical procedures. Certain embodiments relate to methods for the development of deep learning algorithms that perform machine recognition of specific features and conditions in imaging and other medical data. Another embodiment provides systems configured to detect and localize medical abnormalities on medical imaging scans by a deep learning algorithm.Type: ApplicationFiled: February 6, 2019Publication date: May 14, 2020Inventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Nimmada, Pooja Rao, Prashant Warier
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Patent number: 10504227Abstract: This disclosure generally pertains to methods and systems for processing electronic data obtained from imaging or other diagnostic and evaluative medical procedures. Certain embodiments relate to methods for the development of deep learning algorithms that perform machine recognition of specific features and conditions in imaging and other medical data. Another embodiment provides systems configured to detect and localize medical abnormalities on medical imaging scans by a deep learning algorithm.Type: GrantFiled: August 21, 2019Date of Patent: December 10, 2019Assignee: Qure.AI Technologies Private LimitedInventors: Sasank Chilamkurhy, Rohit Ghosh, Swetha Tanamala, Pooja Rao, Prashant Warier
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Patent number: 10475182Abstract: This disclosure generally pertains to methods and systems for processing electronic data obtained from imaging or other diagnostic and evaluative medical procedures. Certain embodiments relate to methods for the development of deep learning algorithms that perform machine recognition of specific features and conditions in imaging and other medical data. Another embodiment provides systems configured to detect and localize medical abnormalities on medical imaging scans by a deep learning algorithm.Type: GrantFiled: February 6, 2019Date of Patent: November 12, 2019Assignee: QURE.AI TECHNOLOGIES PRIVATE LIMITEDInventors: Sasank Chilamkurhy, Rohit Ghosh, Swetha Tanamala, Pooja Rao, Prashant Warier