Program for Clinical AI

Advancing the science, adoption, and effective use of artificial intelligence in healthcare

We develop, validate, and implement artificial intelligence (AI) tools to improve healthcare delivery. Like other areas of our lives, the role of AI in healthcare delivery will only increase over time. A key objective of the Program for AI (P4AI) is to investigate AI-enabled tools in real world settings including monitoring AI model performance for drift, equity, and fitness for answering questions across settings and subpopulations. The P4AI team includes experts with a wide range of expertise across University of Minnesota including the Medical School, School of Public Health, Institute for Health Informatics, and Department of Computer Science and Engineering. We foster both national and international collaborations in natural language processing (NLP) and computer vision including currently direct the Federated Computer Vision in Healthcare Collaborative across multiple U.S. academic health systems.

P4AI Leadership

  • Scientific Director, Christopher Tignanelli, MD MS
  • Clinical AI
    •  Michael Usher, MD, PhD
  • Computer Vision
    • Christopher Tignanelli, MD, MS
    • Ju Sun, PhD
  • Natural Language Processing
    • Rui Zhang, PhD
    • Genevieve Melton-Meaux, MD, PhD
  • Robotics and Surgical Automation
    • Elliot Arsoniadis, MD, PhD

USE CASES

Radiology Diagnostic Algorithm in COVID-19

"Patient heterogeneity and the J-curve relationship between time-to-antibiotics and the outcomes of patients admitted with bacterial infection."  Accepted for Publication in Critical Care Medicine