ClinPRISM

ClinPRISM: Cost-effective multimodal LLM framework for clinical time series question answering

Researchers introduce ClinPRISM, a multimodal LLM reasoning framework designed for question answering over irregular clinical time series (ICTS). The system combines an irregularity-aware multi-scale encoder, a temporal evidence distiller, and a progressive alignment strategy to handle the sparsity and asynchrony typical of clinical observations. Built on a 4B-parameter LLM backbone, it achieves state-of-the-art results on a held-out clinical benchmark using only 16 time-series tokens with 0.15-second inference latency. The authors also release a training corpus of 30,000 clinical time series with multi-scale descriptions and 41,000 instruction-tuning instances across 11 tasks.