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A novel modification of the Turing test for artificial intelligence and robotics in healthcare

2014; Wiley; Volume: 11; Issue: 1 Linguagem: Inglês

10.1002/rcs.1570

1478-596X

Hutan Ashrafian, Ara Darzi, Thanos Athanasiou,

Machine Learning in Healthcare

The International Journal of Medical Robotics and Computer Assisted SurgeryVolume 11, Issue 1 p. 38-43 Original Article A novel modification of the Turing test for artificial intelligence and robotics in healthcare Hutan Ashrafian, Corresponding Author Hutan Ashrafian Department of Surgery and Cancer and Hamlyn Centre, Imperial College London, UKCorrespondence to: H. Ashrafian, Department of Surgery and Cancer, Imperial College London, 10th Floor, QEQM Building, Praed Street, London W2 1NY, UK. E-mail: [email protected]Search for more papers by this authorAra Darzi, Ara Darzi Department of Surgery and Cancer and Hamlyn Centre, Imperial College London, UKSearch for more papers by this authorThanos Athanasiou, Thanos Athanasiou Department of Surgery and Cancer and Hamlyn Centre, Imperial College London, UKSearch for more papers by this author Hutan Ashrafian, Corresponding Author Hutan Ashrafian Department of Surgery and Cancer and Hamlyn Centre, Imperial College London, UKCorrespondence to: H. Ashrafian, Department of Surgery and Cancer, Imperial College London, 10th Floor, QEQM Building, Praed Street, London W2 1NY, UK. E-mail: [email protected]Search for more papers by this authorAra Darzi, Ara Darzi Department of Surgery and Cancer and Hamlyn Centre, Imperial College London, UKSearch for more papers by this authorThanos Athanasiou, Thanos Athanasiou Department of Surgery and Cancer and Hamlyn Centre, Imperial College London, UKSearch for more papers by this author First published: 20 January 2014 https://doi.org/10.1002/rcs.1570Citations: 24Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Abstract 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. 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