公开(公告)号：US20210327055A1

公开(公告)日：2021-10-21

申请号：US16889412

申请日：2020-06-01

Applicant: Qure.ai Technologies Private Limited

Inventor： Preetham Putha ,  Manoj Tadepalli ,  Bhargava Reddy ,  Tarun Raj ,  Ammar Jagirdar ,  Pooja Rao ,  Prashant Warier

IPC: G06T7/00 ,  G06T7/70 ,  G06K9/62 ,  G06T7/11 ,  G06K9/32 ,  G06F40/20 ,  A61B6/00 ,  C12Q1/689 ,  G16H10/40 ,  G16H30/40 ,  G16H50/20 ,  G16H50/50 ,  G16H50/70 ,  G16H50/80

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.

公开(公告)号：US20220245795A1

公开(公告)日：2022-08-04

申请号：US17207598

申请日：2021-03-19

Applicant: Qure.ai Technologies Private Limited

Inventor： Preetham Putha ,  Manoj Tadepalli ,  Bhargava Reddy ,  Tarun Raj ,  Ammar Jagirdar ,  Pooja Rao ,  Prashant Warier

IPC: G06T7/00 ,  G06K9/62 ,  G06N3/08 ,  G06N3/04

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.

公开(公告)号：US11342076B1

公开(公告)日：2022-05-24

申请号：US17499946

申请日：2021-10-13

Applicant: Qure.ai Technologies Private Limited

Inventor： Ammar Jagirdar ,  Adlon Pereira ,  Pradeep Kumar Thummala ,  Arun Kant Sharma ,  Vijay Senapathi ,  Anshul Chauhan

IPC: G16H50/20 ,  G16H10/20 ,  G16H50/70 ,  G16H20/10 ,  G16H40/20 ,  G16H10/60 ,  G16H50/30 ,  G06F40/279

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.

公开(公告)号：US11276173B1

公开(公告)日：2022-03-15

申请号：US17383845

申请日：2021-07-23

Applicant: Qure.ai Technologies Private Limited

Inventor： Preetham Putha ,  Manoj Tadepalli ,  Bhargava Reddy ,  Tarun Raj ,  Ammar Jagirdar ,  Pooja Rao ,  Prashant Warier

IPC: G06T7/00 ,  A61B6/00 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G06N3/08 ,  G06T7/11 ,  G16H50/70 ,  G16H10/60 ,  G16H70/60

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.

公开(公告)号：US11508065B2

公开(公告)日：2022-11-22

申请号：US17207598

申请日：2021-03-19

Applicant: Qure.ai Technologies Private Limited

Inventor： Preetham Putha ,  Manoj Tadepalli ,  Bhargava Reddy ,  Tarun Raj ,  Ammar Jagirdar ,  Pooja Rao ,  Prashant Warier

IPC: G06N3/08 ,  G06T7/00 ,  G06K9/62 ,  G06N3/04

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.

公开(公告)号：US11308612B2

公开(公告)日：2022-04-19

申请号：US16889412

申请日：2020-06-01

Applicant: Qure.ai Technologies Private Limited

Inventor： Preetham Putha ,  Manoj Tadepalli ,  Bhargava Reddy ,  Tarun Raj ,  Ammar Jagirdar ,  Pooja Rao ,  Prashant Warier

IPC: G06T7/00 ,  G06K9/62 ,  G06T7/11 ,  G06K9/32 ,  G06F40/20 ,  G16H10/40 ,  G16H30/40 ,  G16H50/20 ,  G16H50/50 ,  G16H50/70 ,  G16H50/80 ,  G06T7/70 ,  A61B6/00 ,  C12Q1/689

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.

公开(公告)号：US10755413B1

公开(公告)日：2020-08-25

申请号：US16798544

申请日：2020-02-24

Applicant: Qure.AI Technologies Private Limited

Inventor： Preetham Putha ,  Manoj Tadepalli ,  Bhargava Reddy ,  Tarun Raj ,  Ammar Jagirdar ,  Pooja Rao ,  Prashant Warier

IPC: G06T7/00 ,  G06T7/11 ,  G06K9/32 ,  G06F17/18 ,  G06N3/04

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.