collaborators

5 papers

cs.AI2026

LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening

Muhammad Ashad Kabir, Sirajam Munira

Early screening of chronic kidney disease (CKD) is critical for timely intervention, yet most machine learning (ML) and deep learning (DL) approaches require labeled data and model…

cs.LG2026

From Many to Meaningful: Feature-Guided Zero-Shot Chronic Kidney Disease Screening Using Large Language Models

Muhammad Ashad Kabir, Sirajam Munira

Early screening of chronic kidney disease (CKD) is essential for preventing irreversible progression; however, many machine learning (ML)-based screening methods remain difficult t…

cs.SD2026

Zero-Shot Parkinson's Disease Detection from Speech: Comparing Large Audio and Language Models

Muhammad Ashad Kabir, Sirajam Munira

Large audio and language models have recently demonstrated zero-shot reasoning capabilities across various domains. However, it remains unclear how the form of audio input, whether…

cs.HC2026

The Day My Chatbot Changed: Characterizing the Mental Health Impacts of Social AI App Updates via Negative User Reviews

Sirajam Munira, Lydia Manikonda

Artificial Intelligence (AI) chatbots are increasingly used for emotional, creative, and social support, leading to sustained and routine user interaction with these systems. As th…

cs.LG2026

Community-Based Early-Stage Chronic Kidney Disease Screening using Explainable Machine Learning for Low-Resource Settings

Muhammad Ashad Kabir, Sirajam Munira, Dewan Tasnia Azad +3

Early detection of chronic kidney disease (CKD) is essential for preventing progression to end-stage renal disease. However, existing screening tools - primarily developed using po…