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Article Synopsis
  • This study explores how artificial intelligence (AI) chatbots can identify common errors in clinical laboratories through a series of case scenarios and questions focused on pre-analytical, analytical, and postanalytical processes.
  • Four chatbots were assessed on their ability to accurately answer 60 questions, with the accuracy of their responses evaluated by three independent laboratory experts.
  • The findings showed that AI models like CopyAI and ChatGPT v4.0 outperformed ChatGPT-3.5, suggesting that with further training and validation, AI could play a significant role in improving data accuracy in clinical settings.
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