ArticleKorean journal of radiology2024
Accuracy of Large Language Models in Thyroid Nodule-Related Questions Based on the Korean Thyroid Imaging Reporting and Data System (K-TIRADS).
Article in Korean journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Evaluating Chain-of-Thought reasoning in large language models for thyroid ultrasound interpretation: a dual-information approach.Frontiers in artificial intelligence · 2026Article
- LLM evaluation for thyroid nodule assessment: comparing ACR-TIRADS, C-TIRADS, and clinician-AI trust gap.Frontiers in endocrinology · 2025Article
- [Large Language Models: A Comprehensive Guide for Radiologists].Journal of the Korean Society of Radiology · 2024Review
- Comparative Evaluation of the Accuracies of Large Language Models in Answering VI-RADS-Related Questions.Korean journal of radiology · 2024Article
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4 authors.
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Registered trials
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