Background: A comparison of the operations of Clinical Cancer Centers and Comprehensive Cancer Centers across Europe provides novel data on the interrelation between different factors in care delivery.
Method: The analysis is based on a survey of key dimensions in care delivery, comparing routine treatment, advanced technology integration, research participation, and innovation adoption across the two types of centers.
Results: Clinical Cancer Centers excel in providing routine cancer treatment through multidisciplinary teams but struggle with advanced technology integration and research participation.
This manuscript delineates the pathway from in-house research on Artificial Intelligence (AI) to the development of a medical device, addressing critical phases including conceptualization, development, validation, and regulatory compliance. Key stages in the transformation process involve identifying clinical needs, data management, model training, and rigorous validation to ensure AI models are both robust and clinically relevant. Continuous post-deployment surveillance is essential to maintain performance and adapt to changes in clinical practice.
View Article and Find Full Text PDFBackground: Novel technologies offer great possibilities for improving patient care, but their adoption varies across different European countries. To successfully integrate these advancements, it is crucial to prioritize patient interests and avoid getting side-tracked by issues that seek to preserve established positions or neglect collaboration. Next-generation sequencing and liquid biopsy in cancer patients hold substantial potential for early diagnosis and reducing suffering, but only if they are effectively implemented into routine health care.
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