clinical-screening

This paper proposes a cloud-edge collaborative architecture for multimodal clinical screening in resource-constrained rural settings, using lightweight edge models to produce structured outputs that a cloud LLM synthesizes into clinical summaries. Evaluated on 100 multimodal cases, the hybrid system achieves high accuracy and factual grounding while transmitting orders of magnitude less data than cloud-only baselines.