Applying artificial intelligence on EDA sensor data to predict stress on minimally invasive robotic-assisted surgery.

The linear models proposed in this study were successfully validated on cross-validation and test datasets. This fact demonstrates the possibility of predicting factors that help us to improve the surgeon's health during robotic surgery.