Extended Data Fig. 8: Physics-informed (PI) transformer accommodates safety criterion while maintaining accuracy comparable to other algorithms.
From: AI-guided precision parenteral nutrition for neonatal intensive care units
Comparison of the performance (n = 79,790 TPN from 5,913 patients) of different deep learning architectures, including VNN, Long Short-Term Memory (LSTM), Kolmogorov–Arnold Networks (KAN), transformers, and PI-transformer, all showing similar performance. The performance is a Pearson’s R of TPN2.0 composition vs. the actual prescription composition. Data are presented as mean values +/− SEM.
