Papers

5

Total Citations

219

H-Index

5

About

Zach Edgerton is a surgical researcher whose work sits at the dynamic intersection of urological oncology, robotic surgery, and the evolving role of artificial intelligence in medicine. His most impactful contribution — a 2020 study on public perceptions of AI and robotics in healthcare, accumulating 98 citations — sheds critical light on patient attitudes and comfort levels with emerging medical technologies, offering valuable guidance for clinicians navigating the informed consent process in an increasingly automated healthcare landscape. Equally significant is his sustained focus on robotic-assisted laparoscopic prostatectomy (RALP), particularly the comparative analysis of Retzius-sparing versus standard approaches for clinically localized prostate cancer. This body of work, spanning original research, a Cochrane Review protocol, and a full systematic review, has collectively garnered over 110 citations and represents a meaningful contribution to evidence-based surgical decision-making. By rigorously evaluating functional and oncological outcomes across surgical techniques, Edgerton has helped clarify best practices for one of the most commonly performed urological procedures. His research appeals to surgeons, patients, and policymakers alike, making him a notable voice in the modernization of urological care.

Research Focus

Key Achievements

5
H-Index
5
Papers
219
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Public Perceptions of Artificial Intelligence and Robotics in Medicine
98 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: University of Minnesota, University of Minnesota Medical Center, University of Minnesota System

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago