This inventor holds 8 USPTO granted patents. Top assignee: Qure.ai Technologies Private Limited. Active years: 2020-2025.
Location History:
- Mumbai, IN (2020)
- Krishna Gudivada, IN (2020 - 2022)
- Gudivada, IN (2022)
Company Filing History:
Years Active: 2020-2025
Title: Innovations by Manoj Tadepalli
Introduction
Manoj Tadepalli is a notable inventor based in Krishna Gudivada, India. He has made significant contributions to the field of medical technology, particularly in the detection and analysis of health risks through advanced imaging techniques. With a total of eight patents to his name, Tadepalli is recognized for his innovative approaches to healthcare solutions.
Latest Patents
One of his latest patents is a "System and method for detection of a heart failure risk." This system utilizes a processor and memory to analyze chest X-ray images, enhancing visual parameters to identify medical abnormalities. It employs a trained artificial intelligence model to calculate a confidence score for heart failure risk in real time. Another significant patent is the "System and method for detecting and quantifying a plaque/stenosis in a vascular ultrasound scan data." This invention uses deep learning models to automatically detect and quantify plaque in real time, processing video data to measure parameters of the plaque in arteries.
Career Highlights
Manoj Tadepalli is currently associated with Qure.ai Technologies Private Limited, a company that focuses on leveraging artificial intelligence to improve healthcare diagnostics. His work has been instrumental in developing systems that enhance the accuracy and efficiency of medical imaging analysis.
Collaborations
He collaborates with talented professionals in his field, including Preetham Putha and Prashant Warier, contributing to innovative projects that aim to revolutionize healthcare technology.
Conclusion
Manoj Tadepalli's contributions to medical technology through his patents reflect his commitment to improving healthcare outcomes. His innovative systems demonstrate the potential of artificial intelligence in transforming medical diagnostics.