Alexios Dosis

Papers

Total Citations

H-Index

About

Alexios Dosis is a surgical researcher whose work centers on advancing minimally invasive hepatobiliary surgery, with a particular focus on robotic and laparoscopic techniques. His most cited meta-analysis, "Level 2a evidence comparing robotic versus laparoscopic left lateral hepatic sectionectomy," has garnered 15 citations, establishing a critical evidence base for surgeons choosing between these approaches. Dosis’s major contribution lies in synthesizing comparative outcomes data to clarify the safety, efficacy, and learning curves of robotic liver resections, directly informing clinical decision-making in high-stakes procedures. Beyond this landmark study, his research portfolio spans surgical innovation, patient safety, and the integration of technology in operative settings. With a growing citation impact, Dosis is recognized for bridging the gap between emerging robotic platforms and traditional laparoscopic standards, helping to define best practices in hepatic surgery. His work not only provides actionable evidence for practicing surgeons but also guides trainees navigating the evolving landscape of minimally invasive surgery. Through rigorous meta-analyses and comparative studies, Dosis continues to shape the future of hepatobiliary surgery, ensuring that technological advancements translate into measurable improvements in patient outcomes.