Carol E. Reiley
Papers
11
Total Citations
1,307
H-Index
9
About
Carol E. Reiley is a pioneering researcher at the intersection of robotics, artificial intelligence, and surgery. Her work focuses on enhancing robot-assisted minimally invasive surgery through augmented reality, haptic feedback, and automated skill assessment. She developed real-time 3D-CT to stereoscopic video registration for augmented reality during laparoscopic partial nephrectomy (279 citations), and advanced objective surgical skill evaluation methods (240 citations). Her research on visual force feedback demonstrated significant improvements in robotic surgical task performance (224 citations). Reiley pioneered the use of programming by demonstration to generate smooth surgical motion trajectories, reducing surgeon cognitive load (97 citations), and created statistical models for automatic recognition of surgical gestures (75 citations). Her dynamic augmented reality system for sensory substitution (69 citations) and comprehensive review of haptics in robot-assisted surgery (66 citations) have shaped the field. Beyond her technical contributions, Reiley is a notable entrepreneur and advocate for diversity in AI, co-founding multiple startups and serving as a prominent voice for ethical AI development. Her work has fundamentally advanced how surgical robots learn, perceive, and assist human surgeons.
Research Focus
Key Achievements
Top Papers
- 1
- 2Review of methods for objective surgical skill evaluation240 citations · 2010
- 3Effects of visual force feedback on robot-assisted surgical task performance224 citations · 2008
- 4
- 5
- 6
- 7
- 8
- 9Haptics for Robot-Assisted Minimally Invasive Surgery66 citations · 2010
- 10