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#artificial intelligence Review Sep 2026

The Uneven Impact of Generative AI on Student Learning: Examining the Roles of Reliance, Evaluation Literacy, and Course Policy in AI-related Courses

Differences in GenAI use and perceived learning experiences are examined and perceptions of GenAI-enhanced learning appear to reflect cognitive, performance, and self-efficacy benefits, while concerns about stress and diminished critical thinking are associated with lower perceived learning benefits.

Lydia Manikonda, Mei-Yong Si, S. Munira et al. · 0 citations
Open access Jul 2026

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

It is suggested that LLMs can support clinically meaningful, training-free CKD screening using minimal community-accessible patient features, offering a practical complement to conventional ML methods in real-world screening contexts.

Muhammad Ashad Kabir, S. Munira · 1 citation
#artificial intelligence Preprint Sep 2026

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

This study evaluates the effectiveness of large language models for CKD screening under zero-shot and few-shot in-context learning settings and compares them with traditional ML and DL methods and proposes a framework that uses clinically selected tabular features and structured prompt templates to enable LLM-based inf...

Muhammad Ashad Kabir, S. Munira · 0 citations

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