Patents by Inventor Ammar Jagirdar

Ammar Jagirdar 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).

  • Patent number: 11508065
    Abstract: 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: Grant
    Filed: March 19, 2021
    Date of Patent: November 22, 2022
    Assignee: Qure.ai Technologies Private Limited
    Inventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Ammar Jagirdar, Pooja Rao, Prashant Warier
  • Publication number: 20220245795
    Abstract: 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: Application
    Filed: March 19, 2021
    Publication date: August 4, 2022
    Applicant: Qure.ai Technologies Private Limited
    Inventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Ammar Jagirdar, Pooja Rao, Prashant Warier
  • Patent number: 11342076
    Abstract: Disclosed is a system and a method for monitoring patient's health. Data associated with multiple questions nudged to a patient may be received. A plurality of symptoms may be extracted. The plurality of symptoms may be analyzed using to generate a health assessment score. The health assessment score may be compared with a predefined threshold to determine a health condition. A deviation in the health condition may be determined by comparing the health condition and previous health data. A risk level may be identified using an artificial intelligence technique. A course of action may be recommended to the patient in real-time based on the risk level and the health condition. A healthcare practitioner may be identified in real-time. The healthcare practitioner and the patient may be notified in real-time. A follow-up check for the patient may be scheduled based on the risk level and the health condition.
    Type: Grant
    Filed: October 13, 2021
    Date of Patent: May 24, 2022
    Assignee: QURE.AI TECHNOLOGIES PRIVATE LIMITED
    Inventors: Ammar Jagirdar, Adlon Pereira, Pradeep Kumar Thummala, Arun Kant Sharma, Vijay Senapathi, Anshul Chauhan
  • Patent number: 11308612
    Abstract: 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: Grant
    Filed: June 1, 2020
    Date of Patent: April 19, 2022
    Assignee: Qure.ai Technologies Private Limited
    Inventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Ammar Jagirdar, Pooja Rao, Prashant Warier
  • Patent number: 11276173
    Abstract: 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: Grant
    Filed: July 23, 2021
    Date of Patent: March 15, 2022
    Assignee: QURE.AI TECHNOLOGIES PRIVATE LIMITED
    Inventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Ammar Jagirdar, Pooja Rao, Prashant Warier
  • Publication number: 20210327055
    Abstract: 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: Application
    Filed: June 1, 2020
    Publication date: October 21, 2021
    Applicant: Qure.ai Technologies Private Limited
    Inventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Ammar Jagirdar, Pooja Rao, Prashant Warier
  • Patent number: 10755413
    Abstract: 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: Grant
    Filed: February 24, 2020
    Date of Patent: August 25, 2020
    Assignee: Qure.AI Technologies Private Limited
    Inventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Ammar Jagirdar, Pooja Rao, Prashant Warier