Andrew Denisenko

Papers

Total Citations

H-Index

About

Andrew Denisenko is a researcher whose work sits at the intersection of surgical education, 3D printing, and urologic oncology. His most cited paper, "The use of individualized 3D-printed models on trainee and patient education, and surgical planning for robotic partial nephrectomies" (2022, 30 citations), exemplifies his focus on translating cutting-edge technology into tangible clinical and educational benefits. Denisenko’s major contribution lies in demonstrating how patient-specific, 3D-printed anatomical models can enhance understanding for both surgeons-in-training and patients, while also improving preoperative planning for complex robotic kidney surgeries. By bridging the gap between digital imaging and physical representation, his work has helped advance the paradigm of personalized medicine in urology, making surgical procedures safer and more comprehensible. With 30 citations to his most prominent study, his impact is already evident in the surgical simulation and medical education communities. Denisenko’s research not only improves surgical outcomes but also empowers patients through clearer communication of their own anatomy and treatment plans, marking him as an emerging leader in the integration of 3D printing into modern surgical practice.