Faculty
Pablo Moreno-Franco, MD
Physician Professor of Medicine and Critical Care Chair Department of Critical Care Medicine Mayo Clinic
Contributions
5Precision Medicine: Leveraging the UTS Framework to Design Inpatient Fall Prevention
Inpatient falls remain a costly, persistent problem despite decades of prevention research, and ambient artificial intelligence offers a promising solution. We discuss its deployment using the Understand phase of the Understand-Transform-Sustain (UTS) framework and identify precision gaps in current
Trustworthy Artificial Intelligence in Transplantation
Ethical Challenges and Practical Framework for Clinical Implementation
AI-Powered CODE-ICH Transforming Acute Neurocritical Response for Haemorrhagic Strokes
The steps for development and deployment of the CODE-ICH framework and two AI-powered tools—HEADS-UP and SAHVAI—are detailed. Our goal was to transform acute ICH management through real-time detection, volumetric analysis, and predictive modelling. Introduction Intracerebral haemorrhage (I
Palliative Care AI: Creation to ICU Implementation
Implementing an AI screening tool in our ICU for palliative care consults streamlined early alignment of treatment with patient goals, decreased futile interventions, and demonstrated scalable, value-based, patient-centric critical care delivery. Introduction This special edition of Value-
Improved SEP-1 Compliance Using AI-Supported Tools
Artificial intelligence (AI) plays an evolving role in optimising sepsis management and SEP-1 compliance. Despite these advances, barriers persist, including alert fatigue, disparities in model performance across diverse settings, and regulatory hurdles in AI deployment. By integrating predictive mo
