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Large language models for automating clinical trial matching
3
Zitationen
7
Autoren
2025
Jahr
Abstract
Automated clinical trial matching can improve patient access and autonomy, reduce provider workload, and increase trial enrollment. However, it may potentially create a feeling of "false hope" for patients, can be difficult to navigate, and still requires human oversight. Providers may face a learning curve, while institutions must address data privacy concerns and ensure seamless EMR/EHR integration. Given this, additional studies are needed to ensure safety and efficacy of LLM-based clinical trial matching in oncology.
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