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-vision algorithms with edge-computing processing for the automatic detection of non-conformities. Machine-learning techniques will be applied to optimize cutting parameters, and the module will be
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. OBJECTIVES: To develop and validate novel algorithms for the detection of cardiovascular findings in chest computed tomography images and reports based on vision-language frameworks. To collaborate with
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collaboration in the development of a multilingual health literacy dictionary and the construction of a health literacy algorithm to be integrated into an API for health platforms, as well as contributing
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