Researchers have explored the use of large language models (LLMs) for zero-shot screening of chronic kidney disease (CKD). By serializing patient data into text and using a guided selection of clinically meaningful features, LLMs like LLaMA-3, Qwen-3, Mistral, and GPT-4o-mini demonstrated performance suitable for screening purposes. This approach offers a practical, training-free method for CKD detection using readily available community-based patient features, potentially complementing traditional machine learning techniques. AI
IMPACT LLMs can be leveraged for medical screening tasks with minimal training data, offering a new avenue for early disease detection.
RANK_REASON The item is a research paper detailing the application of LLMs to a specific medical screening task. [lever_c_demoted from research: ic=1 ai=1.0]
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