Mumbai, India

Arjun Agarwal

This inventor holds 1 USPTO granted patent. Top assignee: Qure.ai Technologies Private Limited. Active years: 2024.


% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Arjun Agarwal: Innovator in Medical Imaging Technology

Introduction

Arjun Agarwal is a prominent inventor based in Mumbai, India. He has made significant contributions to the field of medical imaging, particularly in the detection of large vessel occlusion (LVO) using advanced computational techniques. His innovative approach has the potential to enhance diagnostic accuracy and improve patient outcomes.

Latest Patents

Arjun Agarwal holds a patent for a groundbreaking invention titled "System and method for automatically detecting large vessel occlusion on a computational tomography angiogram." This patent describes a system that utilizes a vascular-territory-segmentation module, an ICV segmentation module, and classifiers for MCA-LVO and ICA-LVO. The system is designed to automatically detect LVO on a CTA, thereby streamlining the diagnostic process.

Career Highlights

Arjun is currently associated with Qure.ai Technologies Private Limited, a company that focuses on leveraging artificial intelligence to improve healthcare diagnostics. His work at Qure.ai has positioned him as a key player in the intersection of technology and medicine. He has been instrumental in developing solutions that utilize deep learning techniques for medical imaging.

Collaborations

Arjun has collaborated with talented individuals such as Shubham Kumar and Satish Kumar Golla. These collaborations have fostered an environment of innovation and have contributed to the advancement of medical imaging technologies.

Conclusion

Arjun Agarwal's contributions to the field of medical imaging through his innovative patent and work at Qure.ai Technologies Private Limited highlight his commitment to improving healthcare diagnostics. His efforts in developing automated detection systems for large vessel occlusion are paving the way for more efficient and accurate medical assessments.

Profile summary based on public USPTO records.
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