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Research questionHow can we evaluate LLM clinical reasoning across multilingual, multimodal clinical time series?Clinical reasoning systems must interpret changing physiological measurements alongside other clinical information, but existing evaluations often do not combine these dimensions. This makes it difficult to determine whether performance is reliable across languages, modalities, and clinical tasks.
AI
Evaluation & Benchmarks
Health
Machine Learning
Multimodal Models
Natural Language Processing
Reasoning
Latest papersRecent research connected to this question, newest first.MMTClinic: Multimodal, Multilingual Time Series Question Answering and Reasoning Benchmark for Clinical DomainThe source evaluates large language models on clinical question answering involving text, medical images, and multivariate physiological signals in English, Hindi, Bengali, Marathi, and Tamil. Its tasks cover mortality prediction, heart-rate forecasting, and SOFA score estimation, with multiple-choice and open-ended questions evaluated in zero-shot, few-shot, and chain-of-thought settings. The reported evidence is limited to benchmark results from 13 evaluated models; dataset availability is conditional on acceptance.research paper · Sep 4, 2026
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