Mumbai, India

Ayushi Mahendra

This inventor holds 1 USPTO granted patent. Top assignee: Qure.ai Technologies Private Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ayushi Mahendra. Retrieved from https://idiyas.com/inventor/ayushi-mahendra

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ayushi Mahendra and AI-Assisted Lung Abnormality Detection.

Introduction

Ayushi Mahendra is an inventor based in Mumbai, India, associated with Qure.ai Technologies Private Limited. Her patent work concerns the use of artificial intelligence to support medical diagnosis and treatment planning.

Latest Patents

Mahendra is named on one patent, titled “System and Method for Detecting Lung Abnormalities in a Medical Image.” The invention describes a clinical decision-support system that combines chest images with patient history, electronic health records, clinical research, and current healthcare guidelines. An intelligent imaging model and a language model analyze the collected information, and their outputs contribute to an overall confidence score. The system provides a diagnosis, that score, and tailored treatment recommendations to support clinical decision-making.

Career Highlights

Mahendra’s patent reflects work at the intersection of medical imaging, artificial intelligence, and clinical decision support. The proposed framework aims to improve diagnostic precision and provide more personalized treatment guidance.

Collaborations

The patent information identifies Bunty Kundnani and Sri Anusha Matta as Mahendra’s coworkers. The invention’s multidisciplinary approach brings together medical data, imaging analysis, and language-based processing.

Conclusion

Ayushi Mahendra’s lung-abnormality detection patent presents an AI-assisted approach to combining medical information and model outputs for diagnosis and treatment recommendations.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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