At the level of molecules and cells, ketamine and dexmedetomidine work very differently, but in the operating room they do ...

Machine Learning Multimodal Model for Delirium Risk Stratification. JAMA Network Open , 2025; 8 (5): e258874 DOI: 10.1001/jamanetworkopen.2025.8874 Cite This Page : ...

Until now, AI‑driven delirium prediction models have struggled to demonstrate tangible improvements in patient care, say the investigators. "The motivation behind our study at Mount Sinai was clear.

Many of us have seen an older family member or friend act strangely during or after an illness or hospital stay — perhaps they became unusually confused, anxious or even aggressive. I remember ...

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for ...

Comparison of monthly delirium detection rates before any ML-model deployment (pre-ML) and following deployment of the multimodal ML-delirium risk stratification model in live clinical practice ...

The goal of this review is to provide relevant information that can be used to manage acute postoperative pain in the older adult. This article will attempt to describe the assessment of pain in ...

A new study reveals that certain caffeine metabolites in urine are linked to diabetic retinopathy risk in men, offering a promising path toward noninvasive biomarkers for early screening and ...

Here are some pointers that can be kept in mind for a smooth pre- and post-operative care. One of the first things to understand is the recommendation itself. Patients often accept a surgical ...