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TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:STANDARD
DTSTART:20241103T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
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BEGIN:DAYLIGHT
DTSTART:20250309T020000
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DESCRIPTION:NOTE: BIS 525 students are required to attend in person. Other
 s are invited to attend in person\, but may also attend via Zoom. SPEAKER
  : Pranav Rajpurkar\, PhD\, Associate Professor of Biomedical Informatics
  at Harvard Medical School and Co-founder of a2z Radiology AI TITLE : Bey
 ond Assistance: Rethinking AI-Human Integration in Radiology ABSTRACT: Re
 cent evidence challenges a fundamental assumption in medical AI: that com
 bining AI with physician expertise naturally leads to better outcomes. St
 udies show that AI assistance often fails to improve diagnostic accuracy 
 and can even slow down clinical workflows. This talk presents an alternat
 ive vision: instead of forcing integration\, we should embrace clear role
  separation between AI systems and physicians. Drawing from recent large-
 scale studies and advances in generalist medical AI systems\, I will exam
 ine promising models where AI and doctors work separately but complementa
 rily\, each leveraging their unique strengths. Through practical examples
  and emerging evidence\, I will demonstrate how this approach could trans
 form clinical practice while maintaining the essential role of human medi
 cal expertise. YSPH values inclusion and access for all participants. If 
 you have questions about accessibility or would like to request an accomm
 odation\, please contact Charmila Fernandes at Charmila.fernandes@yale.ed
 u . We will try to provide accommodations requested by September 18\, 202
 5.\n\nSpeaker:\nPranav Rajpurkar\, PhD\n\nAdmission:\nFree\n\nDetails URL
 :\nhttps://medicine.yale.edu/event/ysph-biostatistics-seminar-tba-9-23-25
 -copy/\n
DTEND;TZID=America/New_York:20250923T125000
DTSTAMP:20261024T130011Z
DTSTART;TZID=America/New_York:20250923T120000
GEO:41.302961;-72.931638
LOCATION:106-A&B\, 47 College Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:YSPH Biostatistics Seminar: “Beyond Assistance: Rethinking AI-Huma
 n Integration in Radiology"
UID:671aac8f-0497-4d61-b004-109f00754e45
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