{"slug": "clinlens-towards-long-horizon-coding-agents-for-longitudinal-multimodal-clinical", "title": "ClinLens: Towards Long-Horizon Coding Agents for Longitudinal Multimodal Clinical Data Science", "summary": "Researchers introduced CLINLENS, a benchmark of 200 executable tasks over five linked MIMIC resources for evaluating long-horizon coding agents in clinical data science. The strongest of 24 model-scaffold configurations achieved 56.3% scope-macro STRICTPASS on a 126-task suite, while adapted biomedical systems reached at most 2.9%, highlighting a gap between runnable submissions and correct analyses.", "body_md": "arXiv:2607.26155v1 Announce Type: new\nAbstract: Clinical data-science agents must transform heterogeneous longitudinal records into auditable analyses, yet existing benchmarks largely isolate medical question answering, structured-table reasoning, or generic scientific repositories. We introduce CLINLENS, a benchmark of 200 executable tasks over five linked MIMIC resources spanning structured electronic health records, notes, electrocardiograms, chest radiographs, and echocardiograms. A 4 x 5 taxonomy crosses four patient-time scopes with five analysis capabilities. Program-first reverse synthesis pairs each bounded semi-raw package with an evaluator-private reference workflow and checks required artifacts, cohort and temporal semantics, and the final answer. On a fixed 126-task suite, the strongest of 24 standardized model-scaffold configurations achieves 56.3% scope-macro STRICTPASS despite 100% EXECSUCCESS. For reference, a separately configured coding agent solves 83 of 126 tasks, while five biomedical systems adapted to GPT-4o-mini reach at most 2.9% scope-macro STRICTPASS. These results expose a substantial gap between runnable submissions and correct clinical analyses.", "url": "https://wpnews.pro/news/clinlens-towards-long-horizon-coding-agents-for-longitudinal-multimodal-clinical", "canonical_source": "https://arxiv.org/abs/2607.26155", "published_at": "2026-07-31 04:00:00+00:00", "updated_at": "2026-07-31 04:28:09.668562+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-research", "ai-agents", "ai-tools"], "entities": ["CLINLENS", "MIMIC"], "alternates": {"html": "https://wpnews.pro/news/clinlens-towards-long-horizon-coding-agents-for-longitudinal-multimodal-clinical", "markdown": "https://wpnews.pro/news/clinlens-towards-long-horizon-coding-agents-for-longitudinal-multimodal-clinical.md", "text": "https://wpnews.pro/news/clinlens-towards-long-horizon-coding-agents-for-longitudinal-multimodal-clinical.txt", "jsonld": "https://wpnews.pro/news/clinlens-towards-long-horizon-coding-agents-for-longitudinal-multimodal-clinical.jsonld"}}