Impact of Artificial Intelligence integration on Surgical Outcome

Authors

  • Muhammad Umar Younis Mediclinic City Hospital Dubai, UAE.

DOI:

https://doi.org/10.36570/jduhs.2021.2.983

Keywords:

Artificial intelligence, Robotic surgery, Surgical decision making, Machine learning, Deep learning

Abstract

Background: Artificial Intelligence (AI) is improving surgical practice with the technical advancement in imagery, navigation and robotic systems.

Objectives: This review is aimed at assessing the role of artificial intelligence in surgical decision making during preoperative, intraoperative and postoperative periods to emphasize need of evidence-based protocols in this regard.

Methods: The search strategy involving key terms pertaining to the concepts was utilized. In order to reach maximum sensitivity, a combination of the terms such as “Artificial intelligence”, “robotic surgery”, “surgical decision making”, “machine learning”, “deep learning” and “AI”  were considered. Only articles that specifically discussed the role of artificial intelligence in surgical decision making were included.

Results: Fifty five studies were retrieved with exclusion of forty six of them according to inclusion criteria. Thus, nine studies were included in the final review which were arranged in table to aid data review and analysis.

Conclusion:  The advancement of AI has turned modern medicine into a more effective and efficient practice to manage both acute and chronic illnesses. Important advances were made in pre-operative preparation, intra-operative support and post-operative care by using these approaches.

 

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Published

2021-08-12 — Updated on 2021-08-16

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How to Cite

Younis, M. U. . (2021). Impact of Artificial Intelligence integration on Surgical Outcome. Journal of the Dow University of Health Sciences (JDUHS), 15(2), 103–109. https://doi.org/10.36570/jduhs.2021.2.983 (Original work published August 12, 2021)

Issue

Vol. 15 No. 2

Section

Review Article

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Copyright (c) 2021 Muhammad Umar

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