A reasoning-distilled LLM achieves 0.926 AUC for one-year lung cancer risk on NLST, but the reasoning/no-reasoning comparison is confounded by dataset size and the reported train/test splits are internally inconsistent.
European journal of cancer118, 142–148 (2019)
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Reasoning Language Model for Personalized Lung Cancer Screening
A reasoning-distilled LLM achieves 0.926 AUC for one-year lung cancer risk on NLST, but the reasoning/no-reasoning comparison is confounded by dataset size and the reported train/test splits are internally inconsistent.