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The use of ChatGPT and other large language models in surgical science

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Summary

ChatGPT, a large language model, has the potential to revolutionize surgical science. It can generate seemingly intelligent writing and can be used for tasks such as writing drafts, improving text, extracting data, and even making clinical decisions. However, there are several important considerations to keep in mind when using LLMs, such as the potential for neural hallucinations and bias in the output. With responsible and thoughtful implementation, these models can be a valuable tool in surgical science and clinical care.

Q&As

What is ChatGPT and how does it work?
ChatGPT is a large language model (LLM) that can generate seemingly intelligent writing by comprehensively answering prompts after being trained on vast amounts of text data.

What potential applications of ChatGPT and other large language models in surgical science are discussed in the article?
Potential applications of ChatGPT and other large language models in surgical science discussed in the article include writing tasks, data extraction, and clinical decision-making.

What potential issues should be considered when using large language models for writing tasks, data extraction, and clinical decision-making?
Potential issues to consider when using large language models for writing tasks, data extraction, and clinical decision-making include neural hallucinations, where the model generates text that is factually incorrect or nonsensical, and the risk of introducing biases into the model’s output.

How could large language models be used in clinical workflows?
Large language models could be used in clinical workflows to automatically evaluate patient information and produce a patient management plan that surgeons can use as a reference point or consider in their decision-making process.

What measures need to be taken to ensure the reliability and safety of large language models when they are implemented in clinical settings?
To ensure the reliability and safety of large language models when they are implemented in clinical settings, it is important to establish clear guidelines and rules for their use, and to approach their application with caution due to the ethical and legal implications.

AI Comments

👍 This article provides an insightful exploration into the potential benefits of ChatGPT and other large language models in surgical science.

👎 This article fails to provide adequate analysis of the potential risks associated with using large language models for surgical science.

AI Discussion

Me: It's about the potential uses and implications of using large language models like ChatGPT in surgical science. It looks at how they could be applied for writing tasks, data extraction, and even clinical decision-making.

Friend: Interesting. What do you think about the implications for surgical science?

Me: Well, I think the potential applications of these models are exciting. They could increase the efficiency and accuracy of writing tasks, data extraction, and clinical decision-making. But it's also important to consider some of the potential issues, like neural hallucinations, bias, and ethical and legal implications. So it's important to use the models responsibly and thoughtfully.

Action items

Research other large language models and their potential applications in surgical science.
Explore the ethical and legal implications of using large language models in clinical settings.
Develop guidelines and rules for the responsible use of large language models in surgical science.

Technical terms

ChatGPT: ChatGPT is a large language model (LLM) released on November 30, 2022. It is a type of artificial intelligence that is designed to understand and generate natural language text.
Large Language Model (LLM): LLMs are a type of artificial intelligence that are designed to understand and generate natural language text. They are trained on a vast amount of text data, including books, articles, and websites.
Neural Hallucinations: Neural hallucinations are when the model generates text that is factually incorrect or nonsensical, despite appearing confident in its ability.
PubMed GPT and BioGPT: PubMed GPT and BioGPT are language models that are trained on medical knowledge.