7 papers
TwinOR: Photorealistic Digital Twins of Dynamic Operating Rooms for Embodied AI Research
Han Zhang, Yiqing Shen, Roger D. Soberanis-Mukul +11
Developing embodied AI for intelligent surgical systems requires safe, controllable environments for continual learning and evaluation. However, safety regulations and operational…
Investigating a Policy-Based Formulation for Endoscopic Camera Pose Recovery
Jan Emily Mangulabnan, Akshat Chauhan, Laura Fleig +7
In endoscopic surgery, surgeons continuously locate the endoscopic view relative to the anatomy by interpreting the evolving visual appearance of the intraoperative scene in the co…
Humanoid Robots as First Assistants in Endoscopic Surgery
Sue Min Cho, Jan Emily Mangulabnan, Han Zhang +7
Humanoid robots have become a focal point of technological ambition, with claims of surgical capability within years in mainstream discourse. These projections are aspirational yet…
Towards Controllable Video Synthesis of Routine and Rare OR Events
Dominik Schneider, Lalithkumar Seenivasan, Sampath Rapuri +8
Purpose: Curating large-scale datasets of operating room (OR) workflow, encompassing rare, safety-critical, or atypical events, remains operationally and ethically challenging. Thi…
Did you just see that? Arbitrary view synthesis for egocentric replay of operating room workflows from ambient sensors
Han Zhang, Lalithkumar Seenivasan, Jose L. Porras +9
Observing surgical practice has historically relied on fixed vantage points or recollections, leaving the egocentric visual perspectives that guide clinical decisions undocumented.…
Explainable AI for Automated User-specific Feedback in Surgical Skill Acquisition
Catalina Gomez, Lalithkumar Seenivasan, Xinrui Zou +9
Traditional surgical skill acquisition relies heavily on expert feedback, yet direct access is limited by faculty availability and variability in subjective assessments. While trai…