Achieving adequate enteral nutrition among mechanically ventilated patients is challenging, yet critical. Is AI the answer?

An AI tool NutriSightT analyzes routine ICU data to flag underfed patients in real time, enabling more personalized nutrition ...

A new study by researchers at the Icahn School of Medicine at Mount Sinai suggests that artificial intelligence (AI) could help predict which critically ill patients on ventilators are at risk of ...

ICU patients’ needs can change rapidly. The AI studies each patient to make personalized nutrition predictions. In A Nutshell ...

Please provide your email address to receive an email when new articles are posted on . The robot-guided smART+ Platform vs. manual care for enteral feeding demonstrated higher feeding efficacy.

A recent study revealed that critically ill patients who require ventilation often fail to get enough nutrition, especially during their first days in intensive care.According to a research published ...

Imagine yourself standing at the edge of a battlefield, not of war, but of illness. The ICU. A place where life hangs by a thread, where machines breathe for patients, and where every decision can ...

Critically ill patients who need breathing machines often miss getting enough nutrition, especially during the first few days in intensive care. Now, a new study suggests artificial intelligence (AI) ...