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, pre-operative determination via endoscopies and imaging remains unreliable for patient selection. The objective of this study is to develop an image-based machine learning prediction model to assess
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centers. Therefore, to allow high quality care, closer to patients’ home as well as in the areas where very specialized expertise is scarce, you will develop autonomous AI-based systems that support
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models, this goal is more challenging compared to human treatments. Therefore, dedicated treatment planning software is required and will be developed within this project. Would you like to know more about
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. Rather than emphasizing the public’s lack of knowledge or scientific illiteracy, we aim at understanding lay mental models and information needs and potential ethical concerns right from the pre-clinical