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

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Published

2022-06-30

How to Cite

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

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Recent Advances