ICT&health December 30, 2025
Researchers at the Icahn School of Medicine at Mount Sinai have developed an AI-based tool that could help clinicians identify critically ill ICU patients at risk of underfeeding while on mechanical ventilation. The study points to a data-driven approach to improving nutritional care during one of the most vulnerable phases of intensive care.
Adequate nutrition in the first week of ventilation is crucial, as patients’ metabolic needs can change rapidly. Yet underfeeding remains common. “Too many ventilated ICU patients fail to receive sufficient nutrition during this critical period,” says Ankit Sakhuja, Associate Professor of Artificial Intelligence and Human Health at Mount Sinai. “We wanted a timely, practical way to identify who is most at risk, so care teams can intervene...
Today's Sponsors
Today's Sponsor