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Real-time AI Predicts Adverse Outcomes in Acute Pancreatitis in the Emergency Department: Comparison with Clinical Decision Rule.

Ching-Hung ChangChia-Jung ChenYu-Shan MaYu-Ting ShenMei-I SungChien-Chin HsuHung-Jung LinZhih-Cherng ChenChien-Cheng HuangChung-Feng Liu
Published in: Academic emergency medicine : official journal of the Society for Academic Emergency Medicine (2023)
The first real-time AI prediction model implemented in the HIS for predicting adverse outcomes in ED patients with AP shows favorable initial results. However, further external validation is needed to ensure its reliability and accuracy.
Keyphrases
  • emergency department
  • artificial intelligence
  • transcription factor
  • machine learning
  • decision making
  • adverse drug
  • electronic health record