BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:It's A Model Eat Model World: Implications of the Real-World U
 se of Machine Learning Models
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20261006T063218Z
UID:tag:localist.com\,2008:EventInstance_45394770594845
DTSTART:20240124T160000Z
DTEND:20240124T170000Z
DESCRIPTION:There has been massive interest in demonstrating the utility of
  machine learning/artificial intelligence models in healthcare settings\, 
 accompanied by limited real-world deployment and measurement of downstream
  effects.\n\nLittle attention has been paid to the fact that since clinica
 l data is sourced from and is captured back into the EHR\, normal/expected
  model operation can create feedback loops that can disrupt the function o
 f currently existing and future models. The work discussed in this talk ex
 plores the implications and extent of this effect through simulations of m
 odel deployment in various scenarios.\n\nDr. Akhil Vaid is a physician-sci
 entist whose work deals with the application of multi-modal machine learni
 ng to clinical questions. He's currently an instructor in the Division of 
 Data Driven and Digital Medicine (D3M) in the Department of Medicine at th
 e Icahn School of Medicine at Mount Sinai.
GEO:40.762646;-73.9653
LOCATION:425 East 61st St.\, 3rd Fl Conference Room
SUMMARY:It's A Model Eat Model World: Implications of the Real-World Use of
  Machine Learning Models
URL;VALUE=URI:https://events.weill.cornell.edu/event/its_a_model_eat_model_
 world_implications_of_the_real-world_use_of_machine_learning_models
CATEGORIES:Lecture/Seminar
END:VEVENT
END:VCALENDAR