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

Autor: Shiyue Zeng, Qi Qing, Wei Xu, Simeng Yu, Mingzhi Zheng, Hongpei Tan, Junmin Peng, Jing Huang
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Medicine, Vol 11 (2024)
Druh dokumentu: article
ISSN: 2296-858X
DOI: 10.3389/fmed.2024.1365524
Popis: 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.
Databáze: Directory of Open Access Journals