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Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study.

Qingxia WuQingxia WuHuali LiYan WangYan BaiYa-Ping WuXuan YuXiaodong LiPei DongZhong XueDinggang ShenMeiyun Wang
Published in: JMIR medical informatics (2024)
When equipped with structured prompts and guideline PDFs, Claude-2 demonstrated potential in assigning RADS categories to radiology cases according to established criteria such as LI-RADS version 2018. However, the current generation of chatbots lags in accurately categorizing cases based on more recent RADS criteria.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • autism spectrum disorder
  • electronic health record
  • high throughput
  • adverse drug
  • climate change
  • human health