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Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment

Authors

  • Paul Festor UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UKBrain & Behvaiour Lab: Departments of Bioengineering and Computing, Imperial College London, London, UK PubMed articlesGoogle scholar articles
  • Yan Jia Assuring Autonomy International Programme, University of York, York, UKDepartment of Computing, University of York, York, UK PubMed articlesGoogle scholar articles
  • Anthony C Gordon Department of Surgery and Cancer, Imperial College London, London, UK PubMed articlesGoogle scholar articles
  • A Aldo Faisal Brain & Behvaiour Lab: Departments of Bioengineering and Computing, Imperial College London, London, UKInstitute of artificial and human intellgience, Universität Bayreuth, Bayreuth, Bayern, Germany PubMed articlesGoogle scholar articles
  • Ibrahim Habli Assuring Autonomy International Programme, University of York, York, UKDepartment of Computer Science, University of York, York, UK PubMed articlesGoogle scholar articles
  • Matthieu Komorowski UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UKDepartment of Surgery and Cancer, Imperial College London, London, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Professor A Aldo Faisal; a.faisal{at}imperial.ac.uk
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Citation

Festor P, Jia Y, Gordon AC, et al
Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment

Publication history

  • Received January 14, 2022
  • Accepted June 4, 2022
  • First published July 17, 2022.
Online issue publication 
July 17, 2022
  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

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