Miriam Fandakova

Interactive platform for supporting clinical decision-making using large language models (LLMs)

The results suggest that specialized, locally deployable fine-tuned models, combined with bounded interaction design, standardized output constraints, and workflow-oriented system integration, provide a secure, practical, and effective pathway for incorporating LLM-based decision support into routine pre-ambulatory clinical workflows while preserving safety, usability, and auditability in practice.