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AI-Driven Diagnostic Assistance in Medical Inquiry: Reinforcement Learning Algorithm Development and Validation.

Xuan ZouWeijie HeYu HuangYi OuyangZhen ZhangYu WuYongsheng WuLili FengSheng WuMengqi YangXuyan ChenYefeng ZhengRui JiangTing Chen
Published in: Journal of medical Internet research (2024)
This retrospective analysis of predominantly respiratory pediatric presentations in emergency and pediatrics departments demonstrated that an AI-driven diagnostic assistant had high diagnostic performance both in stand-alone use and in simulated collaboration with clinicians. Its investigation process was found to be consistent with the clinicians' medical investigation logic. These findings highlight the diagnostic assistant's promise in assisting the decision-making processes of health care professionals.
Keyphrases
  • healthcare
  • decision making
  • artificial intelligence
  • palliative care
  • machine learning
  • emergency department
  • public health
  • cross sectional
  • social media
  • respiratory tract