Kristian Overduin is appointed as Assistant Professor in Interventional Oncology. His research focuses on the development and validation of imaging-based endpoints for minimally-invasive oncology treatments. Image-guided treatments provide new treatment strategies, offering patient-specific strategies in precision medicine, resulting in fewer side-effects, and shorter hospitalization. As imaging-based endpoints are crucial for predicting treatment success and are most effective in the intra-operative setting, he is exploring AI-driven intra-operative image analysis approaches to assess these endpoints in real time.
3D analysis improves outcomes of image-guided liver tumor treatment
By analyzing CT images with 3D software, small liver tumors can be successfully treated using ablation. This has been demonstrated by research conducted at Radboud university medical center (Radboudumc). These findings enable more confident use of ablation in…
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