NetraAI claims to find high-effect-size patient subgroups in clinical trials using contraction dynamics and an LLM strategist, but reports near-perfect accuracy through circular relabeling.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.Nat Mach Intell1, 206–215 (2019)
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Integrating Dynamical Systems Learning with Foundational Models: A Meta-Evolutionary AI Framework for Clinical Trials
NetraAI claims to find high-effect-size patient subgroups in clinical trials using contraction dynamics and an LLM strategist, but reports near-perfect accuracy through circular relabeling.