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Observational studies can yield clinically actionable evidence at scale, but executing them on real-world databases is open-ended and requires coherent decisions across cohort construction, analysis, and reporting. Prior evaluations of LLM agents emphasize isolated steps or single answers,…
The main features of somewordstoolate/rwe-bench are: Clinical Documentation And EHR, Healthcare Agent Benchmarks, Research and Data Benchmarks.
Projects with overlapping indexed features include: ajhamdi/colon-bench-eval — The code to visualize colon-bench (MICCAI 2026) data and run evaluations of MLLMs on the benchmark. clibench/clibench — Go to https://mimic.physionet.org/ for access. Once you have the authority for the dataset, download the dataset at… dutir-bionlp/rexdrug — Automated Drug Combination Extraction (DCE) from large-scale biomedical literature is important for precision medicine… gersteinlab/medagents-benchmark — MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning. hovchen/aegle — Aegle is a graph-based, multi-agent framework that virtualizes multidisciplinary clinical reasoning for outpatient… actava-ai/chi-bench — C linical H ealthcare I n-Situ Environment Benchmark for long-horizon, policy-rich healthcare workflow agents.
The code to visualize colon-bench (MICCAI 2026) data and run evaluations of MLLMs on the benchmark.
Go to https://mimic.physionet.org/ for access. Once you have the authority for the dataset, download the dataset at the data folder under the same directory as the this repository.
Automated Drug Combination Extraction (DCE) from large-scale biomedical literature is important for precision medicine and pharmacological research. However, existing extraction methodologies predominantly focus on binary interactions. When tasked with complex, variable-length n-ary…
C linical H ealthcare I n-Situ Environment Benchmark for long-horizon, policy-rich healthcare workflow agents