Lab profile
About P4AI
The Program for Clinical AI focuses on developing, validating, and implementing artificial intelligence tools to enhance healthcare delivery. A key objective is investigating AI-enabled tools in real-world settings including monitoring AI model performance for drift, equity, and suitability for addressing specific healthcare challenges. The program fosters national and international collaborations in natural language processing and computer vision.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- Rib Fracture ModelDeveloping an AI-based diagnostic system for rib fractures through external and real-time prospective validation to improve utilization of decision support systems.
- Early Detection Sepsis ModelA cognitive computing model providing clinical decision support to help clinicians identify patients who might need to be screened for sepsis.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- Theory-informed redesign of clinical reasoning education in the era of generative artificial intelligence.Academic medicine : journal of the Association of American Medical Colleges · 2026
- A tripartite framework for nursing artificial intelligence ethics: A scoping review.Nursing outlook · 2026
- Longitudinal symptom severity tracking in vagus nerve stimulation patients: a 2-stage LLM-based pipeline with explainable AI.JAMIA open · 2026
Active NIH grants
- Safe, effective, and trustworthy AI for healthcare delivery organizations and populations across the United StatesPaige Nong · NIBIB · FY 2026
- Enhancing Clinical Terminology to Enable Precision Mental HealthcarePiper Ranallo · NIMH · FY 2026
- M-STEPPSayeed Ikramuddin · NHLBI · FY 2026
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- Chris Tignanelli Awarded NIGMS Subaward to Develop Decision-Making ToolAwardmed.umn.edu
- Chris Tignanelli Helps Develop Models that Predict Race from Chest X-RaysNewsmed.umn.edu
- AI Model Developed by CLHSS Effectively Predicts Sepsis in PatientsNewsmed.umn.edu
- CCDOR-HSR and VAQS Fellowships Seeking CandidatesAnnouncement
- CLHSS Holds Largest Ever Advances in Learning Health System Sciences ConferenceEventmed.umn.edu
- CLHSS and Fairview Welcome Ashley Eggman as New Learning Health Systems Program ManagerAnnouncementmed.umn.edu
- UMN Researchers Develop AI Framework to Identify Diagnostic UncertaintyPublicationmed.umn.edu
- RapidEval Study Identifies Key Barriers and Opportunities to Improve Sepsis CareNewsmed.umn.edu
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
06 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.