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Progress and Perspective of Artificial Intelligence and Machine Learning of Prediction in Anesthesiology

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Abstract

Artificial intelligence (AI) has long been an attractive topic in medicine, especially in light of the rapid developments in digital and information technologies. AI has already provided some breakthroughs in medicine. With the assistance of AI, more precise models have been used for clinical predictions, diagnoses, and decision-making. This review defines the basic concepts of AI and machine learning (ML), and provides a simple introduction to certain frequently used algorithms in AI and ML. In addition, the review discusses the current common applications of AI and ML in the prediction of anesthesia conditions, including those for preoperative predictions of difficult airways, intraoperative predictions of adverse events and anesthetic effects, and postoperative predictions of vomiting and pain. The use of AI in anesthesiology remains in development, even without extensive promotion and clinical application; moreover, it has immense potential to maintain further development in the future. Finally, the limitations and challenges of AI development for anesthesia are also discussed, along with considerations regarding ethics and safety.

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Authors and Affiliations

  1. Department of Anesthesiology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China

    Ming Xia  (夏 明), Tianyi Xu  (徐天意) & Hong Jiang  (姜 虹)

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  1. Ming Xia  (夏 明)
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  2. Tianyi Xu  (徐天意)
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  3. Hong Jiang  (姜 虹)
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Correspondence to Hong Jiang  (姜 虹).

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Foundation item: the Interdisciplinary Program of Shanghai Jiao Tong University (No. ZH2018ZDA14) and the Clinical Research Plan of the Shenkang Hospital Development Center (No. SHDC2020CR3043B)

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Xia, M., Xu, T. & Jiang, H. Progress and Perspective of Artificial Intelligence and Machine Learning of Prediction in Anesthesiology. J. Shanghai Jiaotong Univ. (Sci.) 27, 112–120 (2022). https://doi.org/10.1007/s12204-021-2331-3

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