Investigators Workshop | Machine Learning in Clinical Epilepsy

Friday, December 3, 2021
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OVERVIEW:

Expand your understanding and application of machine learning (ML) in the care and management of epilepsy.

This workshop focuses on how ML can be used to improve seizure and epilepsy care, as well as barriers to implementation.

Speakers highlight:

  1. An overview of common ML methods (e.g., natural language processing and convolutional neural networks)
  2. Specific clinical scenarios in which these methods can be implemented to improve care
  3. Barriers impeding clinicians from using ML and potential solutions for overcoming current challenges.

The workshop concludes with a panel discussion and debate of the pros and cons of more wide spread use of ML for seizure and epilepsy care.

Learning Objectives:

Following participation in this activity, participants will be able to:

  • Gain a broad understanding of commonly used machine learning methods and the clinical situations in which they are best utilized
  • Learn the clinical and computational steps necessary for developing and validating a machine learning algorithm for use in situations unique to seizure and epilepsy care
  • Recognize the barriers and limitations of using machine learning methods in clinical epilepsy and approaches that may help overcome the challenges

Program:

Moderators: Dmitry Tchapyjnikov, MD and Christopher Lee-Messer, MD, PhD

Speakers: Dmitry Tchapyjnikov, MD, Zachary Grinspan, MD, FAES, and David Carlson, PhD

Activity Type
Investigators Workshop
Credit
Non-CME
Format
In person
On-demand
Career Stage
Early Career (typically 0-5 years from completion of training)
Mid-Career (typically 6-15 years from completion of training)
Senior (typically >15 years from completion of training)
Audience
Advanced Practice Providers
Clinicians
Fellows/Trainees
Nurses
Pharmacists
Scientists/Researchers
Demographic
Clinical
First-time Attendees
Research
Young Professionals