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Related Questions
- Can large language models be trained on medical texts to improve their understanding of pediatric and oncology terminology?
- How do fine-tuning techniques impact the accuracy of large language models in generating medical reports?
- What are the key considerations for adapting large language models to accurately represent medical jargon and formatting?
- Can large language models be fine-tuned to accommodate specific formatting requirements for medical reports, such as ICD-10 or SNOMED CT?
- What is the effect of domain adaptation on the performance of large language models in medical reporting tasks?
- How can large language models be fine-tuned to recognize and generate medical abbreviations commonly used in pediatric and oncology reports?
- Are there any specific techniques or tools that enhance the fine-tuning of large language models for medical report generation in pediatric and oncology contexts?
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