Harnessing Large Language Models in Medical Research and Scientific Writing: A Closer Look to The Future

Abstract

Large Language Models (LLMs), a form of artificial intelligence generating natural language responses based on user input, have demonstrated potential across various applications such as entertainment, education, and customer service. This review comprehensively highlights their current research status and potential applications within the medical domain, addressing the challenges and opportunities for future development and implementation. Key aspects covered include diverse data sources for training and testing, such as electronic health records and clinical trials; ethical considerations, including privacy and consent; evaluation techniques focusing on accuracy and coherence; and clinical applications ranging from diagnosis to patient education. The review concludes that LLMs hold significant promise for enhancing the quality and efficiency of medical research and scientific writing but also emphasize the need for careful design and regulation to ensure safety and reliability.

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