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Systematic Review and Meta-Analysis of Prehospital Machine Learning Scores as Screening Tools for Early Detection of Large Vessel Occlusion in Patients With Suspected Stroke.

Muath AlobaidaMartha JoddrellYalin ZhengGregory Yoke Hong LipFiona J RoweWahbi K El-BouriAzmil H Abdul-RahimDeirdre A LaneStephanie L Harrison
Published in: Journal of the American Heart Association (2024)
Both prehospital stroke scales and ML models demonstrated varying accuracies in predicting LVO. Despite ML potential for improved LVO detection in the prehospital setting, application remains limited by the absence of prospective external validation, limited sample sizes, and lack of real-world performance data in a prehospital setting.
Keyphrases
  • cardiac arrest
  • trauma patients
  • emergency medical
  • machine learning
  • atrial fibrillation
  • big data
  • data analysis
  • sensitive detection