Max Robotics — Global Service Robot Directory + US Certification

About

Fons van der Sommen is a leading researcher at the intersection of artificial intelligence and surgical robotics, with a primary focus on computer vision for intraoperative decision support. His work centers on developing deep learning algorithms that can recognize and delineate critical anatomical structures in real-time during complex robot-assisted procedures, particularly in esophagectomy and prostatectomy. Van der Sommen’s major contributions include the creation of a deep learning model that accurately identifies key anatomical landmarks during robot-assisted minimally invasive esophagectomy (RAMIE)—a technically demanding operation with a steep learning curve. This work, published in 2023 and garnering 44 citations, represents a significant step toward reducing perioperative morbidity and improving surgical training. He further advanced the field by applying convolutional neural networks to robot-assisted radical prostatectomy (RARP) to estimate surgical urethral length, a crucial predictor of postoperative continence. Most recently, his 2025 benchmarking of pretrained attention-based models for real-time recognition in esophagectomy demonstrates his ongoing commitment to translating AI research into practical, low-latency surgical tools. With a growing citation impact and a clear translational focus, van der Sommen is shaping the future of context-aware, AI-assisted surgery.