Max Robotics — Global Service Robot Directory + US Certification

About

Baptiste Bonnet is an emerging figure at the cutting edge of interventional radiology, with research focused on the integration of artificial intelligence and robotic systems into clinical practice. His work addresses one of medicine's most exciting frontiers: the automation and enhancement of minimally invasive procedures through intelligent technologies. Bonnet's most impactful contribution examines how AI — particularly foundation models — can revolutionize patient selection, outcome prediction, and multimodal data handling in interventional radiology, accumulating 30 citations since its 2024 publication. Equally influential is his clinical investigation into robotic-assisted CT-guided thermal ablation of abdominal tumors, demonstrating the feasibility, safety, and accuracy of robotic needle guidance across 41 patients — a study that has already garnered 29 citations, reflecting its immediate relevance to practicing clinicians. His further exploration of robotic devices for percutaneous bone procedures underscores a commitment to expanding these technologies beyond soft tissue applications. What distinguishes Bonnet's work is its dual focus: rigorous clinical validation alongside critical, balanced appraisal of whether robotics and AI represent genuine innovation or overhyped solutions. For students and researchers entering this field, his portfolio offers both a technical roadmap and a thoughtful framework for evaluating transformative technologies responsibly.