BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Drupal iCal API//EN X-WR-CALNAME:Events items teaser X-WR-TIMEZONE:America/Toronto BEGIN:VTIMEZONE TZID:America/Toronto X-LIC-LOCATION:America/Toronto BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20200308T070000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20191103T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:683ee0572b65f DTSTART;TZID=America/Toronto:20200417T130000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20200417T130000 URL:/computer-science/events/phd-seminar-hci-ambiguity- aware-ai-assistants-for-medical-data-analysis SUMMARY:PhD Seminar • Human-Computer Interaction — Ambiguity-aware AI\n Assistants for Medical Data Analysis CLASS:PUBLIC DESCRIPTION:Summary \n\nPLEASE NOTE: THIS PHD SEMINAR WILL BE GIVEN ONLINE. \n\nMIKE SCHAEKERMANN\, PHD CANDIDATE\n_David R. Cheriton School of Compu ter Science_\n\nArtificial intelligence (AI) assistants for clinical decis ion making\nshow increasing promise in medicine. However\, medical assessm ents can\nbe contentious\, leading to expert disagreement. This raises the \nquestion of how AI assistants should be designed to handle the\nclassifi cation of ambiguous cases. \n DTSTAMP:20250603T114527Z END:VEVENT END:VCALENDAR