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Related Questions
- What are the advantages of using pre-trained language models for medical text classification tasks?
- Can pre-trained language models be fine-tuned for medical diagnoses, and if so, what are the potential risks?
- How do pre-trained language models handle medical domain-specific terminology and jargon?
- What are the limitations of using pre-trained language models for medical text analysis, particularly in terms of accuracy and reliability?
- Can pre-trained language models be adapted for medical image analysis, and if so, what are the potential benefits?
- How do pre-trained language models handle medical context and nuances, such as patient history and symptoms?
- What are the best practices for fine-tuning pre-trained language models for medical applications, including data preparation and hyperparameter tuning?
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