TY - JOUR
T1 - Biophysical Model
T2 - A Promising Method in the Study of the Mechanism of Propofol: A Narrative Review
AU - Li, Zhen
AU - Liu, Jia
AU - Liang, Huazheng
N1 - Publisher Copyright:
© 2022 Zhen Li et al.
PY - 2022/5/17
Y1 - 2022/5/17
N2 - The physiological and neuroregulatory mechanism of propofol is largely based on very limited knowledge. It is one of the important puzzling issues in anesthesiology and is of great value in both scientific and clinical fields. It is acknowledged that neural networks which are comprised of a number of neural circuits might be involved in the anesthetic mechanism. However, the mechanism of this hypothesis needs to be further elucidated. With the progress of artificial intelligence, it is more likely to solve this problem through using artificial neural networks to perform temporal waveform data analysis and to construct biophysical computational models. This review focuses on current knowledge regarding the anesthetic mechanism of propofol, an intravenous general anesthetic, by constructing biophysical computational models.
AB - The physiological and neuroregulatory mechanism of propofol is largely based on very limited knowledge. It is one of the important puzzling issues in anesthesiology and is of great value in both scientific and clinical fields. It is acknowledged that neural networks which are comprised of a number of neural circuits might be involved in the anesthetic mechanism. However, the mechanism of this hypothesis needs to be further elucidated. With the progress of artificial intelligence, it is more likely to solve this problem through using artificial neural networks to perform temporal waveform data analysis and to construct biophysical computational models. This review focuses on current knowledge regarding the anesthetic mechanism of propofol, an intravenous general anesthetic, by constructing biophysical computational models.
UR - http://www.scopus.com/inward/record.url?scp=85130981681&partnerID=8YFLogxK
U2 - 10.1155/2022/8202869
DO - 10.1155/2022/8202869
M3 - Review Article
C2 - 35619772
AN - SCOPUS:85130981681
SN - 1687-5265
VL - 2022
JO - Computational Intelligence and Neuroscience
JF - Computational Intelligence and Neuroscience
M1 - 8202869
ER -