Comparing artificial intelligence and healthcare professional performance in surgical and interventional video analysis: a systematic review and meta-analysis.

Abstract

Acknowledgements: S.C.W. is supported by the Amethyst Healthcare Group. J.G.H. and D.Z.K. are supported by an NIHR Academic Clinical Fellowship. C.H.K. and D.Z.K. are supported by the Cleveland Clinic London PhD Fellowship. D.S. is supported by the Department of Science, Innovation and Technology, and the Royal Academy of Engineering under the Chair in Emerging Technologies programme. H.J.M. is supported by the NIHR Biomedical Research Centre at University College London. The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. The authors are grateful to Isla Kuhn (IK), medical librarian at the University of Cambridge, for reviewing and providing critique on the database search strategies. The authors are also grateful to Peter McCulloch, Professor of Surgical Science and Practice at the University of Oxford, for reviewing and providing critique on writing of the manuscript.

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