Artificial Intelligence
in
Medicine
curriculum
2022
Theory
Introduction to Artificial Intelligence
in Medicine
Introductory lectures about artificial intelligence, medical data, and medicine as it is practiced today.
Live Schedule (2022)
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Flow of patient information (Mar 11)
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Domains of Medicine and Data Types I (Mar 18)
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Domains of Medicine and Data Types II (Mar 25)
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Domains of Medicine and Data Types III (April 1)
Application
Applications of Artificial Intelligence in Medicine
Exploratory lectures of how artificial intelligence is used today to solve medical and healthcare-related problems
Live Schedule (2022)
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Drug design and protein folding by artificial intelligence (Feb 12)
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Medical Image analysis, feature extraction and prediction (Feb 19)
*Registration for the live lecture series is now closed. For access to the live lectures, please contact us at ualberta@aimss.ca Otherwise, previous recorded lectures and workshops can be found below.
An introduction to neural networks through linear regression, loss functions, gradient descent, outputs, activation functions, and learning rates
Consolidating electronic health records, unstructured information, limitations and benefits
Vodcast coming soon
An overview of data quality, splitting data into training/validation/test sets, overfitting, dropouts, preprocessing, augmentation, and bias
An introduction to how AI can be used to understand protein folding and accelerate the creation process of drug design.
Vodcast coming soon
Vodcast coming soon
This lecture runs through the basics of using learning curves, confusion matrices, ROC, and optimization techniques
An introduction to the incredibly complex bluebrints of life and how AI can be used to hack the genome
Vodcast coming soon
An overview of convoluted neural networks, natural language processing, reinforcement learning, long short-term memory, and more!
How can AI be used in the critical care setting? This lecture introduces the applications of AI in critical care, ICU, and the COVID-19 pandemic
What do physicians actually do? This lectures run through the flow of patient information: Presentation, history, physical exam, investigations, assessment, plan, and prognosis
An introduction to the applications of AI in psychiatry and mental health
