Personalized anesthesia and precision medicine: a comprehensive review of genetic factors, artificial intelligence, and patient-specific factors

Front Med (Lausanne). 2024 May 9:11:1365524. doi: 10.3389/fmed.2024.1365524. eCollection 2024.

Abstract

Precision medicine, characterized by the personalized integration of a patient's genetic blueprint and clinical history, represents a dynamic paradigm in healthcare evolution. The emerging field of personalized anesthesia is at the intersection of genetics and anesthesiology, where anesthetic care will be tailored to an individual's genetic make-up, comorbidities and patient-specific factors. Genomics and biomarkers can provide more accurate anesthetic protocols, while artificial intelligence can simplify anesthetic procedures and reduce anesthetic risks, and real-time monitoring tools can improve perioperative safety and efficacy. The aim of this paper is to present and summarize the applications of these related fields in anesthesiology by reviewing them, exploring the potential of advanced technologies in the implementation and development of personalized anesthesia, realizing the future integration of new technologies into clinical practice, and promoting multidisciplinary collaboration between anesthesiology and disciplines such as genomics and artificial intelligence.

Keywords: artificial intelligence; biomarkers; machine learning; monitoring technologies; personalized anesthesia; pharmacogenomics; precision medicine.

Publication types

  • Review

Grants and funding

The authors declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Hunan Provincial Nature Fund (grant no. 2024JJ7664) of Hunan Province.