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https://mc-meet.zoom.us/j/95861380114?pwd=WThqQ2ZxM1l5SlVVV1lWNUN4WTl0UT09

Meeting ID: 958 6138 0114
Passcode: 188969

Epilepsy
Benjamin Brinkmann, Ph.D.
"Artificial Intelligence and Machine Learning in Epilepsy- Possibilities and Limitations"

Learning objectives: 
Upon conclusion of this activity, participants will be able to:

• Recognize domains and technologies where machine learning and artificial intelligence has transformative potential in clinical epilepsy, and more broadly in neurology
• Summarize the limitations and potential pitfalls inherent in currently available machine learning and artificial intelligence systems

Dr. Brinkmann has the following relevant financial relationships to disclose: Grant/Research: Neurelis, Seer Medical, UNEEG Medical; Other: Eisai Inc. - Speaker Honorarium; Stock: Cadence Neuroscience, Seer Medical and does intend to discuss the following off-label/investigative use of Pharmaceuticals or Instruments: UNEEG Medical, Inc - SubQ/Marco Subcutaneous EEG systems; Neurelis, Inc. - VALTOCO nasal Diazepam (off-label use) 

ATTENDANCE / CREDIT
Text the session code (provided only at the session) to 507-200-3010 within 48 hours of the live presentation to record attendance. All learners are encouraged to text attendance regardless of credit needs. This number is only used for receiving text messages related to tracking attendance. Additional tasks to obtain credit may be required based on the specific activity requirements and will be announced accordingly. Swiping your badge will not provide credit; that process is only applicable to meet GME requirements for Residents & Fellows.

TRANSCRIPT
Any credit or attendance awarded from this session will appear on your Transcript.

For disclosure information regarding Mayo Clinic School of Continuous Professional Development accreditation review committee member(s) and staff, please go here to review disclosures.