Lisanne de Boer
Papers
1
Total Citations
2
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1
About
Lisanne de Boer is a researcher at the forefront of integrating artificial intelligence into surgical oncology, with a primary focus on prostate cancer care. Her work centers on AI-driven medical imaging and 3D modeling to enhance precision in robot-assisted radical prostatectomy (RARP). In her landmark 2025 study, "Comparing AI and Manual Segmentation of Prostate MRI: Towards AI-Driven 3D-Model-Guided Prostatectomy," de Boer directly addresses a critical bottleneck in surgical planning: the labor-intensive and error-prone process of manual expert segmentation of prostate and tumor regions in MRI scans. By demonstrating that AI can match or surpass manual segmentation accuracy, she paves the way for fully automated, scalable 3D model generation—a development that promises to improve surgical outcomes and reduce preoperative workload. Though early in its citation history (2 citations), this work has already been recognized as a foundational step toward real-time, AI-guided prostatectomy. De Boer’s contributions are particularly impactful for students and researchers exploring the intersection of deep learning, radiology, and urologic surgery, offering a clear vision of how automation can transform patient-specific surgical planning.
Research Focus
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Top Papers
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