Predicting lung cancer risk

US11276173B1 · kind B1 · utility

Assignee

• Qure.ai Technologies Private Limited · IN

Inventors

• Preetham Putha · Vijayawada, IN
• Manoj Tadepalli · Gudivada, IN
• Bhargava Reddy · Hyderabad, IN
• Tarun Raj · West Hollywood, US
• Ammar Jagirdar · Mumbai, IN
• Pooja Rao · Mumbai, IN
• Prashant Warier · Mumbai, IN

Key dates

• Filing date: Jul 23, 2021
• Grant date: Mar 15, 2022
• Expiry date: Jul 23, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H70/60
• WIPO field: Medical technology
• WIPO sector: Instruments

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.