1,433
Views
0
CrossRef citations to date
0
Altmetric
Editorial

Back to the roots of AI and their relevance for health care today

&
Pages 65-68 | Received 12 Mar 2019, Accepted 12 Mar 2019, Published online: 05 Apr 2019

References

  • Turing AM. Computing machinery and intelligence. MIND – A Quart Rev Psychol Philos. 1950;LIX:433–460.
  • Wilkes M. Artificial intelligence as the year 2000 approaches. Commun ACM. 1992;35:17–20.
  • Weizenbaum J. ELIZA — a computer program for the study of natural language communication between man and machine. Commun ACM. 1966;9:36–45.
  • Collins NL, Michie D. Machine intelligence. Vol. 1 + 2. Edinburgh: Edinburgh University Press; 1971.
  • Begoli E, Bhattacharya T, Kusnezov D. The need for uncertainty quantification in machine-assisted medical decision making. Nat Mach Intel. 2019;1:20–3.
  • Müller VC, Bostrom N. Future progress in artificial intelligence: a survey of expert opinion. In: Müller VC, editor. Fundamental issues of artificial intelligence synthese library. Berlin: Springer; 2014.
  • Mintz Y. Introduction to artificial intelligence in medicine. Jerusalem (Israel): Department of General Surgery, Hadassah Hebrew-University Medical Center; 2019.
  • Padoy N. Machine and deep learning for workflow recognition during surgery. Strasbourg (France): ICube, University of Strasbourg; 2019.
  • Gholinejad M, Loeve AJ, Dankelman J. Surgical process modelling strategies: How to determine workflow? Delft (the Netherlands): Department of Biomechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology; 2019.
  • Cypko M., Stoehr M. Digital patient models based on Bayesian networks for clinical treatment decision support. Leipzig (Germany): University of Leipzig, Innovation Center Computer Assisted Surgery; 2019.
  • Kasparick M., Andersen B., Franke S., et al. Enabling artificial intelligence in high acuity medical environments. Leipzig (Germany): University of Rostock, University of Lübeck, and University of Leipzig; 2019.
  • Nypan E. Vessel-based rigid registration for endovascular therapy of the abdominal aorta. Trondheim (Norway): Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, 20 Norwegian University of Science and Technology (NTNU); 2019.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.