The potential and limitations of artificial intelligence (AI)-based large language models (LLMs) in medical research.
By Neha MathurOct 12 2023Reviewed by Lily Ramsey, LLM In a recent study published in Communications Medicine, researchers provided a comprehensive overview of the potential and limitations of artificial intelligence -based large language models in medical research, education, and clinical practice.
They exhibit an exceptional ability to respond to diverse questions and handle complex concepts. Until recently, commercial companies like OpenAI/Microsoft, Meta, and Google led the development of LLMs. In this context, GPT-4, developed with further RLHF from ChatGPT, successfully surpassed the medical licensing exam requirements, indicating its potential in the medical field.
Related StoriesLLMs have the potential to improve communication by simplifying medical language and can be particularly useful in addressing conditions with social stigmas, such as sexually transmitted diseases. In medical research, LLMs can help with scientific content production, summarizing scientific concepts, and aiding scientists and clinicians with limited technical skills in testing hypotheses and visualizing large datasets. The dynamic updating of scientific models can improve research performance.
LLMs in educational settings should be regulated transparently to avoid misinformation and externalization of medical reasoning, especially in medical education, where it could lead to potentially harmful clinical decisions.
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