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DTSTART:20230312T030000
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DTSTAMP:20230925T233744Z
UID:7C51371B-6592-4548-9211-55FE438EDCF5
DTSTART;TZID=America/Denver:20230920T180000
DTEND;TZID=America/Denver:20230920T190000
DESCRIPTION:This talk will explore the intersection of artificial intellige
 nce (AI) and electroencephalography (EEG). The first fundamental question 
 discussed will be why we require the assistance of machines despite existi
 ng human capabilities. This will be followed by a necessarily incomplete h
 istorical narrative on the application of AI to EEG\, looking at the impac
 t of advances in software and hardware on the clinical care of patients. T
 his will lead into a discussion of the pitfalls and obstacles that prevent
  or slow the adoption of AI for EEG analysis. The talk will conclude with 
 speculation about future developments and their potential impact on clinic
 al care.\n\nCo-sponsored by: James Gowans\n\nSpeaker(s): Dr Jeremy Slater\
 , \n\nRoom: 410\, Bldg: University of Denver Ritchie School of Engineering
  and Computer Science\, 2155 E Wesley Ave\, Denver\, Colorado\, United Sta
 tes\, 80208
LOCATION:Room: 410\, Bldg: University of Denver Ritchie School of Engineeri
 ng and Computer Science\, 2155 E Wesley Ave\, Denver\, Colorado\, United S
 tates\, 80208
ORGANIZER:fepowersjr@ieee.org
SEQUENCE:10
SUMMARY:CIS: EEG\, Machine Learning\, and Artificial Intelligence – Appli
 cations and Progress
URL;VALUE=URI:https://events.vtools.ieee.org/m/363994
X-ALT-DESC:Description: <br /><p>This talk will explore the intersection of
  artificial intelligence (AI) and electroencephalography (EEG). The first 
 fundamental question discussed will be why we require the assistance of ma
 chines despite existing human capabilities. This will be followed by a nec
 essarily incomplete historical narrative on the application of AI to EEG\,
  looking at the impact of advances in software and hardware on the clinica
 l care of patients. This will lead into a discussion of the pitfalls and o
 bstacles that prevent or slow the adoption of AI for EEG analysis. The tal
 k will conclude with speculation about future developments and their poten
 tial impact on clinical care.</p>
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