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​The Role of AI/ML in Prediction Modeling

Review recent computing trends as they relate to research, education, and clinical practice in the intensive care unit.

Webcast

​The Role of AI/ML in Prediction Modeling

August 20, 2024

1:00 p.m. – 2:00 p.m. Central Time

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Review recent computing trends with artificial intelligence (AI), machine learning (ML), and natural language processing as they relate to research, education, and clinical practice in the intensive care unit. This webcast will explore how to appraise this technology, the pros and cons of AI, the potential for biased algorithms based on training data, appropriate critiques of AI/ML methods, and future methodologic advances.

Tuesday, August 20, 2024
1:00 p.m. – 2:00 p.m. Central Time


Reserve Your Spot
 

Can't make the live event? Register anyway and receive a link to the recording.

Learning objectives: 

  • Review strengths and limitations of traditional regression-based prediction modeling
  • Discuss advantages and key concepts of assessing prediction modeling approaches based on machine learning
  • Explore use cases of artificial intelligence algorithms for intensive care unit event prediction

This webcast is provided through SCCM’s Clinical Pharmacy and Pharmacology Section and Discovery, the Critical Care Research Network.

Brian P. Murray, PharmD, BCCCP
Subject Matter Expert
Brian P. Murray, PharmD, BCCCP

Clinical Assistant Professor
University of Colorado Skaggs School of Pharmacy
Aurora, Colorado, USA

Andrea Sikora, PharmD, MSCR, BCCCP, FCCP, FCCM
Subject Matter Expert
Andrea Sikora, PharmD, MSCR, BCCCP, FCCP, FCCM

Clinical Associate Professor
University of Georgia College of Pharmacy
Athens, Georgia, USA

Megan Singlar, PharmD, BCCCP
Moderator
Megan Singlar, PharmD, BCCCP

Emergency Medicine Clinical Pharmacy Specialist
ProMedica Toledo Hospital
Toledo, Ohio, USA

Select and Professional
$0
Associate
$40
Nonmembers
$45

Continue learning—and earning ACE—after the webcast with a new SCCM Podcast episode!

Take away even more knowledge about the Hour-1 Bundle. This new episode will release May 17, 2023, at 2:00 p.m. Central Time. Earn an additional 0.25 hours of ACE credit.
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