Deploying AI for Critical Care: Learning to Make a Difference
Speaker Heading link
Speaker:
Matthew M Churpek, MD, MPH, PhD
Associate Professor, Allergy, Pulmonary, and Critical Care Division, Department of Medicine
Affiliate Faculty, Department of Biostatistics and Medical Informatics
University of Wisconsin School of Medicine and Public Health
Session Information Heading link
A Knowledge-Based Activity
ACPE UAN # 0016-0000-24-061-L99-P, 1.0 contact hours
1.0 contact hour CNE
Learning Objectives:
- Discuss the importance of early detection of clinical deterioration.
- Describe what machine learning and AI are and how they are relevant to clinical medicine.
- Describe how machine learning approaches can be implemented to detect critical illness.
Speaker Disclosures
Dr. Matthew Churpek receives royalties from the University of Chicago as an inventor on a patent for eCART, a risk stratification tool (IP owned by University of Chicago). All of the relevant financial relationships listed for Dr. Matthew Churpek have been mitigated through peer review. See Speakers page for all other disclosures.
Modified on June 28, 2024