Evaluating the Intermediate Suspicion Category in Thyroid Nodules with AI Assistance: A Comparative Analysis of C-TIRADS, ACR-TIRADS, and ATA Guidelines
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The authors aimed to compare the diagnostic performance and fine-needle aspiration (FNA) decision-making for thyroid nodules classified as "Intermediate Suspicion" using three ultrasound-based risk stratification systems (ACR-TIRADS, ATA guidelines, and C-TIRADS), both with and without artificial intelligence (AI) assistance. The study found that AI significantly improved diagnostic accuracy and reduced FNA rates while enhancing malignant detection rates across all guidelines, with C-TIRADS demonstrating the highest overall performance when combined with AI.
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