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, control, trust, ethics) and align them with use cases; 5. Develop a functional prototype, including a simple interface and a pipeline with Human-in-the-Loop; 6. Integration of a basic explainability
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factors: Prior experience in developing algorithms for biomedical image processing (especially aligned with the research group's areas) and machine learning/deep learning techniques. Prior knowledge of data
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addressed involve defining architectures and interfaces that enable interaction between language models and multiple data technologies, ensuring correct coordination, contextualization, and access control
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that enable interaction between language models and multiple data technologies, ensuring the correct coordination, contextualisation, and control of access to information. Empirical studies will be used