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PRODID:-//meduniwien.ac.at//Events//DE
METHOD:PUBLISH
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UID:event-1126-date-1738@meduniwien.ac.at
DTSTAMP:20200120T070037Z
SUMMARY:MIC Lecture: Human-computer collaboration for image based decision 
 support - Termin abgesagt
DTSTART:20200122T130000
DTEND:20200122T143000
DESCRIPTION:Termin abgesagt - Die Veranstaltung findet nicht statt.\n\nHuma
 n-computer collaboration for image based decision support\n\nHarald Kittle
 r\nDepartment of Dermatology\, Medical University of Vienna\n\nAlthough ar
 tificial intelligence (AI) driven diagnostic software reached expert level
  accuracies in many studies of image-based medical specialties\, it is sti
 ll unclear if these achievements translate to an improved clinical practic
 e. Recent advances in image based skin cancer diagnosis shed more light on
  the underexplored field of human-computer collaboration in diagnostic med
 icine.\n\nThe accuracy of human raters does not improve with all types of 
 AI-based decision support. In order to be useful to human raters\, decisio
 n support should be simple\, concrete\, and in accordance with the given t
 ask. In contrast to the current narrative the primary focus should shift f
 rom human-computer-competition to human-computer- and crowd-computer-colla
 boration.\n\nBio-Sketch: Harald Kittler\nHarald Kittleris an Ao. Professor
  at the Department of Dermatology\, Medical University of Vienna. He leads
  a research team with a specific focus on in vivo skin imaging and machine
  learning. He has a clinical interest in skin cancer diagnosis\, dermatosc
 opy\, and dermatopathology. Kittler has been working for more than 20 year
 s in the field of in vivo skin imaging and has published a number of scien
 tific articles especially in computer assisted diagnosis of skin cancer.\n
 \n» Medical Imaging Cluster (MIC)\n\nThis event will be approved by the A
 ustrian Medical Chamber with 1 DFP-Point.\n\nTermin abgesagt - Die Veranst
 altung findet nicht statt.
LOCATION:AKH Wien\, Ebene 7F\, Pokieser-Seminarraum Währinger Gürtel 18-2
 0\, 1090 Wien
CLASS:PUBLIC
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