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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Artificial Intelligence for Health
DTSTART:20190122T080000
DTEND:20190125T180000
DTSTAMP:20260407T033955Z
UID:2c0c51dddefee1b8bcdf15036235a2e439685f008ee45ef879f24a3a
CATEGORIES:Conferences - Seminars
DESCRIPTION:From 22 to 25 January\, EPFL will be hosting the third worksho
 p/meeting of FG-AI4H at the Swiss Tech Convention Center in Lausanne. With
  this email\, I would like to inform you of our activities as well as exte
 nd an invitation to you and your colleagues to become involved in this imp
 ortant project. In particular\, we hope to see you at the workshop/meeting
  in Lausanne. Participation in FG-AI4H is free of charge and open to all.\
 n \nThe workshop/meeting details\, including registration\, can be found 
 here.\n \nThe objective of AI4H is to establish a standardized assessment
  framework for the evaluation of AI-based methods for health\, diagnosis\,
  triage\, or treatment deci​sions. With this objective in mind\, AI4H ha
 s launched a Call for proposals: use cases and data (available here). “U
 se cases” refers to medical conditions that can be diagnosed with AI and
  for which medical data are available. This call is targeted at academics 
 and researchers in the healthcare domain. The resulting proposals are to b
 e presented and evaluated at the workshop/meetings. During the previous wo
 rkshop/meeting at Columbia University\, New York\, eight use cases were ac
 cepted by FG-AI4H that ranged from assessing the risk of breast cancer to 
 assessing the risk of breast cancer. The press release\, including the det
 ails of the use cases\, can be found here.\n \nAs AI4H approaches its thi
 rd meeting in Lausanne\,  the next phase will include sharing training da
 ta from these use cases with AI developers. As a result\, iterant Calls fo
 r AI technology for health will be published. These AI applications will b
 e tested using confidential data from the respective use cases. As you can
  infer\, the success of this project depends on active participation of th
 e medical and machine learning research communities. Please visit the abov
 e links\, consider the importance of this project\, and become involved ei
 ther by submitting use cases or data or by attending the workshop/meeting 
 in Lausanne.\n 
LOCATION:STCC 0 7326 https://plan.epfl.ch/?room=STCC07326
STATUS:CONFIRMED
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