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A novel modification of the Turing test for artificial intelligence and robotics in healthcare
Author(s) -
Ashrafian Hutan,
Darzi Ara,
Athanasiou Thanos
Publication year - 2015
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.1570
Subject(s) - turing test , robotics , artificial intelligence , turing , computer science , health care , applications of artificial intelligence , automation , machine learning , data science , robot , engineering , economics , programming language , economic growth , mechanical engineering
Background The 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. Methods Development of quantifiable diagnostic accuracy meta‐analytical evaluative techniques for the Turing test paradigm. Results Modification 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. Conclusions Modification 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.