TheAIMSLab@MountSinai
TheAIMSLab@MountSinai @TheAIMSLab_MSSM ·
A new study in @NatureComms led by Jengda et. al. developed NutriSighT, an #interpretable #transformer-based #AI model that predicts which mechanically ventilated ICU patients are at risk of underfeeding during their stay. #precisionnutrition nature.com/articles/s4146…
Content cover image
NutriSighT: Interpretable Transformer Model for Dynamic Prediction of Underfeeding Enteral Nutrit...

Nature Communications - NutriSighT, an interpretable AI transformer model, accurately predicts which mechanically ventilated ICU patients are at risk of underfeeding, enabling clinicians to...

From nature.com
1
26