Cambridge, United Kingdom

Shruthi Jaisimha Bannur

USPTO Granted Patents = 1 

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):

Title: Innovations by Shruthi Jaisimha Bannur: Advancements in Report Generation from Scanned Images

Introduction

Shruthi Jaisimha Bannur is a distinguished inventor located in Cambridge, GB. He has made significant contributions to the field of technology through his innovative concept of generating reports from scanned images. With a keen focus on enhancing medical reporting, his work is trailblazing in the intersection of machine learning and healthcare.

Latest Patents

Shruthi holds one notable patent that showcases his ingenuity: "Generating reports from scanned images." This patent outlines a computer-implemented method that involves receiving a report concerning the condition of a human or animal subject based on scans. The method involves inputting the report and the corresponding scans into a trained machine learning model. The model generates suggestions for updating the text of the report, which are visually linked in a user interface to specific subregions within the scan images, providing an intuitive interface for users.

Career Highlights

Shruthi currently works at Microsoft Technology Licensing, LLC, where he contributes to the advancement of innovative technologies. His role enables him to engage with cutting-edge research and development initiatives, aligning with his passion for improving data interpretation and reporting mechanisms.

Collaborations

During his career, Shruthi has collaborated with notable colleagues, including Ozan Oktay and Javier Alvarez-Valle. These collaborations have likely fostered an environment where innovative ideas flourish, enabling Shruthi's contributions to resonate in broader technology applications.

Conclusion

In summary, Shruthi Jaisimha Bannur’s contributions to generating reports from scanned images reflect a significant step forward in integrating machine learning with healthcare reporting. His work exemplifies the impact of innovation on improving processes in the medical field, paving the way for future advancements.

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