Atomic fact-checking of LLM oncology recommendations increased clinician trust from 26.9% to 66.5% (Cohen's d=0.94) in a trial of 356 doctors.
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CONDITIONAL 2representative citing papers
DINOv3 at 512x512 resolution with ConvNeXt-B outperforms prior initializations for adult chest X-ray classification but shows no benefit in pediatric cohorts or at 1024 resolution.
citing papers explorer
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Atomic Fact-Checking Increases Clinician Trust in Large Language Model Recommendations for Oncology Decision Support: A Randomized Controlled Trial
Atomic fact-checking of LLM oncology recommendations increased clinician trust from 26.9% to 66.5% (Cohen's d=0.94) in a trial of 356 doctors.
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Resolution scaling governs DINOv3 transfer performance in chest radiograph classification
DINOv3 at 512x512 resolution with ConvNeXt-B outperforms prior initializations for adult chest X-ray classification but shows no benefit in pediatric cohorts or at 1024 resolution.