公开(公告)号：US11367191B1

公开(公告)日：2022-06-21

申请号：US17457470

申请日：2021-12-03

Applicant: Qure.ai Technologies Private Limited

Inventor： Prashant Warier ,  Ankit Modi ,  Preetham Putha ,  Prakash Vanapalli ,  Pradeep Kumar Thummala ,  Vijay Senapathi ,  Kunjesh Kumar

IPC: G06T7/00 ,  G16H30/40 ,  G16H15/00 ,  G06V10/25 ,  G06V10/764

Abstract: Disclosed is a system and a method for adapting a report of nodules in computed tomography (CT) scan image. A CT scan image may be resampled into a plurality of slices. A plurality of region of interests may be identified on each slice using an image processing technique. Subsequently, a plurality of nodules may be detected in each region of interest using the deep learning. Further, a plurality of characteristics associated with each nodule may be identified. The plurality of nodules may be classified into AI-confirmed nodules and AI-probable nodules based on a malignancy score. Further, feedback associated with the AI-confirmed nodules and the AI-probable may be received form a radiologist. Furthermore, data may be adapted based on the feedback. Finally, a report comprising adapted data may be generated.

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.