Date of activity: 4/14/2021
 

Andrew Laitman, MD, PhD
Resident (PGY-1)
Department of Laboratory Medicine & Pathology
University of Washington

Objectives:

1. Describe examples of how machine learning has been used to create clinical decision support tools that predict clinical outcomes.
2. Appraise metrics used to evaluate the success of clinical decision support tools that employ machine learning algorithms.
3. Summarize existing barriers to deployment of machine learning-based support tools in clinical practice.

Speaker disclosures: Dr. Andrew Laitman discloses no relevant conflicts of interest.

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Grant Acknowledgment: None

Planning Committee Disclosures:

The following members have no financial or other relationship with any commercial interest in the past twelve months: Ben Bradley, MD, PhD; Sindhu Cherian, MD; Noah Hoffman, MD, PhD; Nabiha Huq Saifee, MD, PhD; Ryan Morse, MD; Cate Paschal, PhD; Brian Shirts MD, PhD; and Susan Fink, MD PhD.

Planning member disclosures, continued: Sean Murphy, MD, PhD discloses equity in Sound Vaccines Inc., research support from Novartis, and consulting for Giner Inc.; Daniel Sabath, MD, PhD discloses Grant/Research support from RareCyte, Inc.; Hamilton Tsang, MD discloses research funding from Terumo BCTbio.

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