Piper C. Cannon
Papers
2
Total Citations
4
H-Index
2
About
Piper C. Cannon is a rising leader in the field of surgical image guidance, with a focused expertise in developing and evaluating 3D visualization systems for minimally invasive procedures. Her research centers on the critical translational gap between laboratory prototypes and clinical adoption, particularly for robotic partial nephrectomy. Cannon’s most cited work introduces a pioneering, safe framework for quantitative *in vivo* human evaluation of image guidance technologies, directly addressing the need for rigorous, real-world validation. Complementing this, her comparative analysis of 3D image guidance implementations provides a comprehensive review of current systems, assessing their readiness for routine surgical use. These contributions, each garnering 2 citations, establish a foundational methodology for objectively measuring the impact of augmented reality and navigation tools on surgical accuracy and efficiency. By creating the benchmarks for clinical evaluation, Cannon is instrumental in moving image guidance from promising concept to proven surgical asset, shaping how future technologies are tested and trusted in the operating room.
Research Focus
Key Achievements
Top Papers
- 1
- 2