Bedford, MA, United States of America

Ajay Gopinath

USPTO Granted Patents = 26 

 

 

Average Co-Inventor Count = 2.0

ph-index = 6

Forward Citations = 97(Granted Patents)


Location History:

  • Scarborough, MA (US) (2022)
  • Bedford, MA (US) (2018 - 2024)
  • Waltham, MA (US) (2024)

Company Filing History:


Years Active: 2018-2025

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26 patents (USPTO):

Title: Innovations and Contributions of Ajay Gopinath in Medical Imaging

Introduction

Ajay Gopinath is an accomplished inventor based in Bedford, MA, known for his significant contributions to the field of medical imaging. With an impressive portfolio of 23 patents, Gopinath has made remarkable advancements that leverage machine learning techniques to enhance diagnostic tools for healthcare professionals, particularly in cardiology.

Latest Patents

Among his latest patents, Gopinath has developed systems and methods for the classification of arterial image regions and features thereof. This innovation involves real-time evaluation of patient image data using machine learning methods, aimed at improving diagnostics for cardiologists and imaging specialists. Additionally, he has focused on issues associated with intravascular images that have polar representations, addressing the challenges posed by the use of rotating probes like Optical Coherence Tomography (OCT) and Intravascular Ultrasound (IVUS). His methods enable the quick imaging and diagnosis of patients, facilitating procedures such as stenting during a single session in the cath lab. Another significant patent of his involves the longitudinal display of coronary artery calcium burden, which utilizes OCT or IVUS image data frames to represent blood vessel segments. This includes detection and scoring of arterial features, providing a color-coded indication of risks associated with stent under-expansion.

Career Highlights

Ajay Gopinath's career is marked by his association with LightLab Imaging, Inc., where he has played a crucial role in advancing medical imaging techniques. His work has significantly impacted how healthcare professionals approach diagnostic imaging, allowing for quicker, more efficient treatment options for patients.

Collaborations

Gopinath collaborates with other talented professionals in his field, including Desmond Christopher Adler and Kyle Savidge. This collaborative effort fosters innovation and supports the development of state-of-the-art imaging technologies that benefit the medical community.

Conclusion

Ajay Gopinath's innovative work in the realm of medical imaging exemplifies the potential of integrating advanced technologies like machine learning into healthcare. His patents and ongoing contributions continue to pave the way for improved diagnostic tools, enhancing patient care and outcomes in cardiology and beyond.

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