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A Systematic Review of the Factors Affecting the Artificial Intelligence Implementation in the Health Care Sector

  • Shaikha F. S. Alhashmi
  • Muhammad Alshurideh
  • Barween Al Kurdi
  • Said A. SalloumEmail author
Conference paper
  • 414 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1153)

Abstract

A systematic review for twenty-three research studies published between (2015–2018) was reviewed and analyzed deeply in order to answer the research question for the critical success factors for implementing artificial intelligence (AI) projects within the health sector. Afterwards, different constructs were elicited from the previous targeted studies to end up with a list of the most widely used external factors that are relied upon frequently during the process of adopting the technology. The study provide a critical discussion about what does (AI) means and how it can be linked to use the Technology Acceptance Model (TAM) to discuss the willingness to use (AI) systems by individuals.

Keywords

Systematic review Artificial Intelligence (AI) Technology Acceptance Model (TAM) Health sector 

Notes

Acknowledgment

This work is a part of a dissertation submitted in fulfilment of MSc Informatics (Knowledge & Data Management) Faculty of Engineering & Information Technology At The British University in Dubai.

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