TABLE 1.

Training, validation, and test root mean square error (RMSE) between the AI-model predictions and the synthetic data generated by the cardio-respiratory model over 60 min of fluid transfusion for heart rate (HR) and systolic blood pressure (SBP).

HR RMSE (δh) (beats/min)			SBP RMSE (δs) (mmHg)
Training (N = 20)	Validation (N = 20)	Test (N = 5)	Training (N = 20)	Validation (N = 20)	Test (N = 5)
3.4 (0.9)	4.2 (1.0)	4.3 (0.7)	2.5 (0.7)	2.8 (0.5)	2.9 (0.5)

Data are presented as mean (standard deviation). N represents the number of AI models.