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The use of large language models to enhance cancer clinical trial educational materials
2025·3 Zitationen·JNCI Cancer SpectrumOpen Access
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Zitationen
18
Autoren
2025
Jahr
Abstract
LLMs such as GPT4 show promise in generating patient-friendly educational content for clinical trials with minimal trial-specific engineering. The findings serve as a proof of concept for the role of LLMs in improving patient education and engagement in clinical trials, as well as the need for ongoing human oversight.
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Autoren
Institutionen
- Massachusetts Institute of Technology(US)
- Technical University of Munich(DE)
- Brigham and Women's Hospital(US)
- Harvard University(US)
- Dana-Farber Cancer Institute(US)
- Dana-Farber Brigham Cancer Center(US)
- Artificial Intelligence in Medicine (Canada)(CA)
- Mass General Brigham(US)
- Boston University(US)
- National Institutes of Health(US)
- Massachusetts General Hospital(US)
- Loyola University Chicago(US)
Themen
Topic ModelingArtificial Intelligence in Healthcare and EducationHealth Literacy and Information Accessibility