Artificial Intelligence in Surgery: Dawn of New Era

Authors

  • Minhaj Rafi
  • Haadia Ali
  • M Waqas Arshad

DOI:

https://doi.org/10.48111/2022.02.05

Keywords:

artificial intelligence, surgeons, machine learning, reasoning, problem solving, perception, language, computer, machine, analysis, integration

Abstract

IMPORTANCE Artificial intelligence is rapidly reshaping science and healthcare. Approximately 37% of organizations have implemented some sub-entity of AI in their daily workings which include social networking, airplanes, robots, and deep learning computers and surgical science is no exclusion. This article aims to review and summarize major aspects of artificial intelligence (AI), along with its practical implementation, limitation, and potential in the field of surgery.

METHODS Published multidisciplinary literature search was conducted on artificial intelligence in medical science to recognize different techniques and prime concepts that are bringing about innovation across multiple industries, including surgery. Barriers and challenges of working with AI were also scrutinized.

RESULTS & DISCUSSION The major dimensions of AI include (1) Machine learning, (2) reasoning, (3) problem solving, (4) perception, and (5) language. Their current role and future implementation in surgical practice were introduced including big data sets and systems that aid in medical decisions. Besides this, the duty of surgeons in promoting and facilitating this technology to optimize clinical effectiveness was also brought into consideration.

CONCLUSION AI carries the potential and aptitude to revolutionize the way surgery is being taught and practiced over the past years. The surgeons themselves are eager and well-positioned in integrating AI into modern practice, however, in order to attain this, they require the expertise of data scientists.

References

Gartner Survey Shows 37 Percent of Organizations Have Implemented AI in Some Form. Accessed July 5, 2022. https://www.gartner.com/en/newsroom/press-releases/2019-01-21-gartner-survey-shows-37-percent-of-organizations-have

Research | MIT CSAIL. Accessed July 5, 2022. https://www.csail.mit.edu/research/?category=Groups

Amisha, Malik P, Pathania M, Rathaur VK. Overview of artificial intelligence in medicine. J Fam Med Prim Care. 2019;8(7):2328. doi:10.4103/JFMPC.JFMPC_440_19

artificial intelligence - Reasoning | Britannica. Accessed July 5, 2022. https://www.britannica.com/technology/artificial-intelligence/Reasoning

(PDF) Integrating the Freshman seminar and Freshman Problem Solving courses. Accessed July 5, 2022. https://www.researchgate.net/publication/3923299_Integrating_the_Freshman_seminar_and_Freshman_Problem_Solving_courses

What is Artificial Intelligence? How Does AI Work? (2022)- Great Learning. Accessed July 5, 2022. https://www.mygreatlearning.com/blog/what-is-artificial-intelligence/

Hashimoto DA, Rosman G, Rus D, Meireles OR. Artificial Intelligence in Surgery: Promises and Perils. Ann Surg. 2018;268(1):70-76. doi:10.1097/SLA.0000000000002693

artificial intelligence | Definition, Examples, Types, Applications, Companies, & Facts | Britannica. Accessed July 5, 2022. https://www.britannica.com/technology/artificial-intelligence

What Is Inductive Reasoning? Learn the Definition of Inductive Reasoning With Examples, Plus 6 Types of Inductive Reasoning - 2022 - MasterClass. Accessed July 5, 2022. https://www.masterclass.com/articles/what-is-inductive-reasoning#what-is-inductive-reasoning

Deductive reasoning vs. Inductive reasoning | Live Science. Accessed July 5, 2022. https://www.livescience.com/21569-deduction-vs-induction.html

Examples of Inductive Reasoning. Accessed July 5, 2022. https://examples.yourdictionary.com/examples-of-inductive-reasoning.html

Artificial Intelligence. Accessed July 5, 2022. https://www.iss.nus.edu.sg/executive-education/discipline/detail/artificial-intelligence

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Published

2022-06-30

Issue

Section

Recent Advances

How to Cite

Artificial Intelligence in Surgery: Dawn of New Era. (2022). Archives of Surgical Research, 3(2), 29-32. https://doi.org/10.48111/2022.02.05