• Hutan Ashrafian, Ara Darzi, and Thanos Athanasiou.
• Department of Surgery and Cancer and Hamlyn Centre, Imperial College London, UK.
• Int J Med Robot. 2015 Mar 1; 11 (1): 38-43.

BackgroundThe increasing demands of delivering higher quality global healthcare has resulted in a corresponding expansion in the development of computer-based and robotic healthcare tools that rely on artificially intelligent technologies. The Turing test was designed to assess artificial intelligence (AI) in computer technology. It remains an important qualitative tool for testing the next generation of medical diagnostics and medical robotics.MethodsDevelopment of quantifiable diagnostic accuracy meta-analytical evaluative techniques for the Turing test paradigm.ResultsModification of the Turing test to offer quantifiable diagnostic precision and statistical effect-size robustness in the assessment of AI for computer-based and robotic healthcare technologies.ConclusionsModification of the Turing test to offer robust diagnostic scores for AI can contribute to enhancing and refining the next generation of digital diagnostic technologies and healthcare robotics.Copyright © 2014 John Wiley & Sons, Ltd.

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