R. B. den Boer
Papers
2
Total Citations
56
H-Index
2
About
R. B. den Boer is a surgical researcher advancing the field of minimally invasive oncologic surgery, with a focus on integrating artificial intelligence to improve procedural safety and outcomes. Their key research areas include robot-assisted minimally invasive esophagectomy (RAMIE) and gastrectomy (RAMIG), particularly for esophageal and gastric cancers. Den Boer’s major contribution lies in pioneering deep learning-based recognition of critical anatomical structures during RAMIE, as demonstrated in their 2023 study (44 citations), which developed an algorithm to enhance real-time surgical guidance and reduce perioperative morbidity. This work addresses the steep learning curve of complex thoracoscopic procedures. Additionally, their 2024 systematic review on RAMIG (12 citations) provides a rigorous assessment of the technique’s effectiveness, mapping it against the IDEAL framework stages to evaluate its development from idea to long-term implementation. With these contributions, den Boer is shaping the future of data-driven, AI-assisted surgery, offering tangible tools to improve precision and training in robot-assisted oncology. Their research bridges technical innovation and clinical practice, making them a notable voice in the evolution of minimally invasive surgical care.
Research Focus
Key Achievements
Top Papers
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