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.

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生物物理模型：丙泊酚作用机制研究中的一种有前途的方法：叙述性综述

丙泊酚的生理和神经调节机制主要基于非常有限的知识。它是麻醉学中令人困惑的重要问题之一，在科学和临床领域都具有重要价值。众所周知，由许多神经回路组成的神经网络可能与麻醉机制有关。然而，这一假设的机制需要进一步阐明。随着人工智能的进步，更有可能通过使用人工神经网络进行时间波形数据分析，构建生物物理计算模型来解决这个问题。本综述通过构建生物物理计算模型，重点介绍了有关丙泊酚（一种静脉全身麻醉剂）麻醉机制的当前知识。