MultiMed Engineers explored how Large Language Models (LLMs) could be used to revisit and extend Digital Health functions investigated in the BD4QoL and other projects. A multi-agent proof of concept was developed to experiment with LLM-based behaviour interpretation, affective assessment, anamnesis extraction, health-promotion content selection, symptom support and risk assessment. The work also investigates how natural-language prompts can make system specifications more directly understandable and discussable with healthcare professionals.
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