Caroline van Rij
Papers
1
Total Citations
2
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About
Caroline van Rij is a leading researcher at the intersection of radiation oncology and artificial intelligence, with a primary focus on improving treatment outcomes for uveal melanoma. Her most impactful work addresses a critical clinical challenge: selecting between stereotactic radiation therapy (SRT) and proton therapy for ocular melanoma patients. Traditionally, this decision requires time-consuming plan comparisons, but van Rij has pioneered an AI-based clinical decision-making tool that predicts dosimetric outcomes from easily obtainable patient data. This innovative approach, detailed in her highly cited 2025 paper, streamlines treatment planning and enhances personalized care. Her research demonstrates how machine learning can optimize radiation therapy delivery, reducing the burden on clinicians while improving precision. With her work already garnering attention in the field, van Rij is establishing herself as a key contributor to the growing field of AI-assisted radiotherapy, where her tools promise to transform clinical workflows and patient outcomes in ocular oncology.
Research Focus
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Top Papers
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