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Related Questions
- What are the common challenges in fine-tuning large language models (LLMs) for medical report generation?
- How can the lack of diverse and high-quality medical data affect the performance of LLMs in generating accurate medical reports?
- What are the potential biases in medical data that can impact the fairness and accuracy of LLM-generated medical reports?
- How can the complexity of medical terminology and jargon affect the ability of LLMs to generate coherent and accurate medical reports?
- What are the challenges in ensuring the clinical validity and reliability of LLM-generated medical reports?
- How can the lack of transparency and explainability in LLM-generated medical reports affect trust and adoption in the medical community?
- What are the potential risks and consequences of relying on LLM-generated medical reports in high-stakes clinical decision-making?
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