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Related Questions
- What are the key considerations for designing effective prompts for LLMs in healthcare to ensure accurate and reliable results?
- How can LLMs be fine-tuned to adapt to the nuances of medical language and terminology in healthcare settings?
- What role can human oversight and review play in ensuring the trustworthiness of LLM-generated responses in healthcare?
- What are the potential consequences of relying solely on LLMs for decision-making in healthcare without proper validation and testing?
- How can prompt engineering be used to mitigate the risk of bias in LLMs and ensure fairness in healthcare applications?
- What are the challenges of evaluating the effectiveness of LLMs in healthcare and how can they be addressed through prompt engineering?
- Can LLMs be used to identify and flag potential errors or discrepancies in medical records, and if so, how can this be achieved through prompt engineering?
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