Researchers at Google have developed a benchmarking pipeline and synthetic personas to evaluate the performance of large language models (LLMs) in diagnosing tropical and infectious diseases (TRINDs). Their findings highlight the potential for LLMs to enhance clinical decision support, especially in low-resource settings, while also identifying the need for ongoing evaluation to ensure accuracy and cultural relevance.