Interpretable Reinforcement Learning for Optimizing Mechanical Ventilation to Improve Oxygen Delivery and Avoid Lung Injury
The core message of this article is to develop an interpretable reinforcement learning methodology to optimize mechanical ventilation strategies that can increase blood oxygen levels (SpO2) while explicitly discouraging aggressive ventilator settings known to cause lung injuries.