CT Open: An Open-Access, Uncontaminated, Live Platform for the Open Challenge of Clinical Trial Outcome Prediction
A new benchmark platform uses LLM-powered decontamination to predict clinical trial results without data leakage.
Scientists have long sought to accurately predict outcomes of real-world events before they happen. Can AI systems do so more reliably? We study this question through clinical trial outcome prediction, a high-stakes open challenge even for domain experts. We introduce CT Open, an...
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CT Open establishes a rigorous, contamination-free framework that prevents data leakage, which is essential for developing reliable predictive models for real-world scenarios. By standardizing the evaluation of clinical trial forecasting, this platform accelerates the transition of AI from theoretical benchmarks to high-stakes decision-support tools in medicine.
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