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  • Data Science and Image Analysis for the Neurosurgeon (June 10, 17, 24)

    About The Event

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    AGENDA

    Data science techniques are becoming commonplace throughout neurosurgery in research studies, clinical trials, and operating room technology. This course is designed for neurosurgeons with an academic or leadership focus who will use data science in their research or hospital administrative duties.

    This course will provide an overview of various types of data science techniques, with a focus on image analysis with artificial intelligence (AI). The course is suitable for those who do not know how to code or model build themselves and is not designed to teach coding. The aim is to teach neurosurgeons how data science is applied in neurosurgery, to successfully collaborate with data science researchers, and to understand how AI is incorporated in image analysis.

    At the end of the course, we will have breakout sessions for a virtual hands-on experience to practice developing data science questions, evaluating models, and learning about data science resources. Participants will break up into small groups into various interactive rooms on the topics of data science resource discussion, research project proposals and practice data science modeling.

    Option 1: Data science resource discussion - This interactive room will focus on resources available to physicians to perform data science research and apply for grant funding. We will have industry collaborators provide overviews of available resources and explain challenges for starting data science projects.

    Option 2: Research project proposals - Propose a research topic/ask questions to our data science experts. One of the most challenging parts of starting a project is getting a foot in the door. In this room, our data science experts will field questions from participants about their project, give feedback, and help develop your projects in a group setting.

    Option 3: Practice data science modeling - Learning to code and perform data science experiments is challenging as a neurosurgeon. Orange is a graphical user interface that puts python coding behind easy-to-understand widgets and demystify data science. In this interactive session, we will demonstrate how to use orange to develop a neurosurgery-specific data science model. Participants will learn how to visualize data, organize an experiment, and evaluate their model.

    Learning Objectives

    Upon completion of this course, attendees will be able to:

    • Organize your data collection in an efficient way to be analyzed by data science techniques
    • Describe the strengths and weaknesses of various data science modeling techniques such as neural networks, principle component analysis, and clustering techniques
    • Build a research project centered utilizing AI imaging analysis techniques

    Course directors: Mohamad Bydon, Daniel Donoho, Matt Pease

    Pricing: $300 member | $450 non-member

    Thursday, June 10, 2021

    6:00–8:30 pm CT

    Overview of Data Science, Machine Learning, and Neural Networks for Model Building
    Speaker: Stephane Doyen

    Machine Learning in Medical Imaging Analysis
    Speaker: Oliver Gevaert
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    Thursday, June 17, 2021

    6:00–8:30 pm CT

    Radiomics
    Speaker: Eric Oermann

    Artificial Intelligence in Medical Imaging Diagnosis
    Speaker: Yvonne Lui

    Collecting Data for an Imaging Study
    Speaker: Tim Smith
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    Thursday, June 24, 2021

    6:00–8:30 pm CT

    AI in Imaging for a Neurosurgeon
    Speaker: Jason Davies

    Breakout Session: Develop a Data Science Modeling Project

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    Virtual

    Congress of Neurological Surgeons
    Phone: 847-240-2500
    Toll-free: 877-517-1CNS
    Fax: 847-240-0804
    Email: info@cns.org

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