The advancement of deep learning and artificial intelligence has resulted in the development of state-of-the-art language models, such as ChatGPT. This technology can analyze large amounts of data, identify patterns, and assist in the analysis and understanding of risk factors for diseases. Despite its potential, the applications, challenges, and ethical considerations have not been yet fully explored in global health research. This paper examines the applications of ChatGPT in global health research, assesses the challenges in its use, and proposes mitigation strategies. Additionally, it describes the ethical considerations around the use of ChatGPT in global health research and suggests potential avenues for addressing these issues. This paper summarizes that it is crucial to understand the capabilities and limitations of this technology in order to fully realize its potential and ensure its responsible integration into global health research.