Max Robotics — Global Service Robot Directory + US Certification

About

Alexander Seitel is a biomedical researcher specializing in image-guided therapy, computer-assisted interventions, and surgical robotics. His work sits at the intersection of medical imaging, software engineering, and clinical application, with a particular focus on improving the precision and usability of minimally invasive procedures such as CT-guided liver punctures and needle-based interventions. Seitel made significant early contributions through his development of intuitive image-based user interfaces for robotic needle placement systems, most notably the Robopsy platform, which addressed the complex challenge of mentally registering imaging data with patient anatomy during interventional procedures. His comparative study of human versus robot operator error in percutaneous liver interventions provided valuable clinical insight into the reliability of robotic assistance. A cornerstone of his broader impact has been advancing open-source software infrastructure for the field; his work on MITK-IGT and MITK-OpenIGTLink has helped lower the barrier to developing real-time, image-guided therapy applications by enabling seamless integration of established open-source toolkits. These contributions have collectively garnered over 50 citations. More recently, Seitel has extended his expertise into artificial intelligence, contributing to systematic reviews on AI applications in esophageal surgery, reflecting his evolving engagement with machine learning's growing role in surgical workflows.