benchmarking 1clinical data science 1clinical time series 1coding agents 1healthcare AI 1irregular data 1longitudinal analysis 1multimodal health data 1multimodal llms 1question answering 1
From the 2 of 3 linked papers with an AI index.
3 papers
cs.AI2026
ClinLens: Towards Long-Horizon Coding Agents for Longitudinal Multimodal Clinical Data Science
Yuan Zhu, Ethan B. Liu, Frank Nie +1
ClinLens introduces a benchmark of 200 executable tasks that link multiple MIMIC data modalities—structured records, notes, ECGs, chest X‑rays, and echocardiograms—to evaluate long…
cs.AI2026
A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series
Frank Nie, Ethan B Liu, Yuan Zhu +2
The paper introduces ClinPRISM, a multimodal large language model framework that efficiently answers questions over irregular clinical time series by using a multi-scale encoder, a…
cs.CL2026
CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series
Frank Nie, Ethan B. Liu, Yuan Zhu +3
Clinical time series are central to patient monitoring, risk assessment, and clinical decision support. However, they are often sparse, irregularly sampled, and asynchronous, makin…