#global-health2 articles

2 articles

AIBullishGoogle Research Blog · Sep 245/104

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AfriMed-QA: Benchmarking large language models for global health

AfriMed-QA introduces a new benchmark for evaluating large language models' performance in global health contexts, specifically focusing on African healthcare scenarios. This research addresses the need for culturally relevant AI assessment tools in medical applications for underrepresented regions.

AINeutralGoogle Research Blog · Apr 305/103

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Benchmarking LLMs for global health

The article discusses benchmarking Large Language Models (LLMs) for applications in global health, focusing on evaluating AI performance in healthcare contexts. This represents ongoing efforts to assess and improve generative AI capabilities for critical health applications worldwide.