Romy C. van Jaarsveld
Papers
2
Total Citations
5
H-Index
2
About
Romy C. van Jaarsveld is a rising researcher at the forefront of surgical data science, specializing in the application of artificial intelligence to robot-assisted surgery. Her work centers on developing and benchmarking machine learning models for real-time surgical phase recognition, with a particular focus on robot-assisted minimally invasive esophagectomy (RAMIE)—a highly complex procedure for treating esophageal cancer. Van Jaarsveld’s major contributions include systematically evaluating pretrained attention-based models and enhancing the accuracy of phase recognition systems, which are critical for improving surgical training, workflow efficiency, and patient safety. Her most-cited papers, published in 2025, have already garnered 3 and 2 citations respectively, signaling early impact in this niche yet rapidly evolving field. By addressing the unique challenges of RAMIE—such as its multi-anatomical scope and repetitive phases—her work provides foundational benchmarks that enable novices to learn more effectively and experts to refine their techniques. Van Jaarsveld’s research not only advances the technical frontier of surgical AI but also holds promise for transforming how complex oncological procedures are taught and performed globally.
Research Focus
Key Achievements
Top Papers
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