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Related Questions
- What are the primary challenges that hinder the explainability of LLMs in healthcare, and how can they be overcome?
- How can healthcare professionals and developers design more transparent LLMs that provide actionable insights in medical decision-making?
- What are the potential consequences of deploying opaque LLMs in healthcare, and how can their transparency be ensured?
- Can you describe the relationship between model interpretability and trust in LLMs for medical diagnosis and treatment?
- What are some strategies for evaluating the fairness and bias in LLMs used in healthcare applications?
- In what ways can healthcare organizations prioritize transparency and accountability in the development and deployment of LLMs?
- How can the lack of transparency in LLMs be addressed through the use of more transparent and explainable AI techniques, such as feature attribution and model-agnostic explanations?
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