Patents Assigned to QURE.AI TECHNOLOGIES PRIVATE LIMITED
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Patent number: 11861832Abstract: Disclosed is a system and a method for determining a brock score. A CT scan image may be resampled into a plurality of slices using a bilinear interpolation. A nodule may be detected on one or more of the plurality of slices. A region of interest associated with the nodule may be identified using an image processing technique. Further, a nodule segmentation may be performed to remove an area surrounding the region of interest. Subsequently, a plurality of characteristics associated with the nodule may be identified automatically using a deep learning model. Finally, a brock score for the patient may be determined based on the plurality of characteristics and demographic data of the patient.Type: GrantFiled: December 2, 2022Date of Patent: January 2, 2024Assignee: QURE.AI TECHNOLOGIES PRIVATE LIMITEDInventors: Prashant Warier, Ankit Modi, Preetham Putha, Prakash Vanapalli, Vikash Challa, Ranjana Devi, Ritvik Jain
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Patent number: 11521321Abstract: Disclosed is a system and a method for monitoring a CT scan image. A CT scan image may be resampled into a plurality of slices using a bilinear interpolation. A region of interest may be identified on each slice using an image processing technique. The region of interest may be masked on each slice using deep learning. Subsequently, a nodule may be detected as the region of interest using the deep learning. Further, a plurality of characteristics associated with the nodule may be identified. Furthermore, an emphysema may be detected in the region of interest on each slice. A malignancy risk score for the patient may be computed. A progress of the nodule may be monitored across subsequent CT scan images. Finally, a report of the patient may be generated.Type: GrantFiled: December 3, 2021Date of Patent: December 6, 2022Assignee: QURE.AI TECHNOLOGIES PRIVATE LIMITEDInventors: Prashant Warier, Ankit Modi, Preetham Putha, Prakash Vanapalli, Vikash Challa
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Patent number: 11342076Abstract: 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: GrantFiled: October 13, 2021Date of Patent: May 24, 2022Assignee: QURE.AI TECHNOLOGIES PRIVATE LIMITEDInventors: Ammar Jagirdar, Adlon Pereira, Pradeep Kumar Thummala, Arun Kant Sharma, Vijay Senapathi, Anshul Chauhan
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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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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