Welcome back our series on AI for the clinician! In this episode, we go over some basics of machine learning statistics with the goal to help you read and analyze contemporary studies. Some of this will be a review, and parts will be technical, but by the end we hope reading these studies is less daunting.

Hosts:
Ayman Ali, MD
Ayman Ali is a Behind the Knife fellow and general surgery PGY-4 at Duke Hospital in his academic development time where he focuses on data science, artificial intelligence, and surgery.

Julie Doberne, MD, PhD: @juliedoberne
Julie Doberne is an Assistant Professor of Surgery, Assistant Professor of Medical Informatics and Clinical Epidemiology, cardiothoracic surgeon, and faculty member of the Surgical Data and Decision Sciences Lab at Oregon Health and Science University.

Phillip Jenkins, MD: @PhilJenkinsMD
Phil Jenkins is a general surgery PGY-4 at Oregon Health and Science University and a National Library of Medicine Post-Doctoral fellow pursuing a master’s in clinical informatics.

Steven Bedrick, PhD: @stevenbedrick

Steven Bedrick is a machine learning researcher and an Associate Professor in Oregon Health and Science University’s Department of Medical Informatics and Clinical Epidemiology.

Shelby Willis, MD
Shelby Willis is a general surgery PGY-4 at Oregon Health and Science University. She is currently in her research time in the Surgical Data and Decision Sciences lab at OHSU pursuing advanced training in informatics.

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Artificial Intelligence for the Clinician Episode 3: Basics of Machine Learning Statistics

Behind The Knife: The Surgery Podcast