Ayushi Kumari

About

I am a graduate student in Artificial Intelligence and Data Analytics at Amity University, with a growing focus on how data can be used to understand complex problems and support better decision-making. My interests lie in exploring AI beyond theoretical models by applying it to practical, research-driven problems where data has real-world value.

I am especially interested in the application of AI in healthcare. I am open to working with different types of medical data, including medical images, clinical tables, text records, and multimodal datasets. My goal is to contribute to research that uses AI to support healthcare analysis, improve decision-making, and create practical impact in the medical domain.

Research

Clinical Concept Sensitivity and Visual Attention Analysis for Breast Cancer Detection

Ayushi Kumari, Seema Rani

IEEE ICCISD  IEEE International Conference on Computational Intelligence System and Devices

Evaluated 5 SOTA pathology Vision-Language Models for zero-shot breast cancer classification on PatchCamelyon (327,680 histopathology images). Designed 20 prompts across 4 categories to study clinical vs. non-clinical prompt impact. Demonstrated clinical prompts improve accuracy by up to 30% over minimal prompts; KEEP achieved the highest accuracy of 83.3%.

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