M. Emmanuel-Fabula

NigBench: A multilingual point-of-care medical query benchmarking study of large language models in Nigeria

A novel benchmark comprising over 9,000 real-world, point-of-care, multilingual, and multimodal clinical question-answer pairs sourced from frontline health workers in Nigeria reveals several critical insights into the suitability of LLMs as clinical decision support systems in low-resource contexts.