Contact:
Thomas Schnelldorfer, MD, PhD
Surgical Imaging Lab, Boston, MA
thomas.schnelldorfer@tufts.edu
Bipin Gaikwad, PhD
Tufts Institute for AI, Medford, MA
bipin.gaikwad@tufts.edu
Venue:
Dental Alumni Lounge (15th Floor)
Tufts University School of Dental Medicine
1 Kneeland Street, Boston, MA 02111
Goal
The rapid integration of artificial intelligence into surgical practice is reshaping the entire continuum of care, from preoperative planning and intraoperative decision-making to postoperative assessment. Adoption of these technologies raises important questions surrounding safety, ethics, accountability, and clinical effectiveness. Addressing these challenges requires meaningful collaboration and dialogue across multiple disciplines. This conference was created to provide a forum for such discussion.
CME credits:
This conference is not accredited for Continuing Medical Education (CME) credits
Official language
The official language of the congress in English; no simultaneous translation will be provided.
Registration
Participation in the Conference is free of charge. Advance registration is mandatory prior to December 8. Room capacity is 80 people. Registration must be completed online at
Kindly note that access to the Conference venue cannot be ensured without prior registration.