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Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study.

Eddie GuoMehul GuptaJiawen DengYe-Jean ParkMichael PagetChristopher Naugler
Published in: Journal of medical Internet research (2024)
Large language models have the potential to streamline the clinical review process, save valuable time and effort for researchers, and contribute to the overall quality of clinical reviews. By prioritizing the workflow and acting as an aid rather than a replacement for researchers and reviewers, models such as GPT-4 can enhance efficiency and lead to more accurate and reliable conclusions in medical research.
Keyphrases
  • data analysis
  • healthcare
  • autism spectrum disorder
  • machine learning
  • high resolution
  • high throughput
  • quality improvement
  • human health