Thyroid
AI assistant improves interpretation efficiency, consistency, and accuracy for thyroid ultrasound
ECR: Poster Presentation
Monajemi et al. 2026
Thyroid nodule characterisation on ultrasound is time-intensive and prone to substantial inter-radiologist variability and errors due to the multi-step requirements of ACR TI-RADS (TR) assessment and structured reporting. We evaluate an AI-enhanced thyroid ultrasound assistant that fully automates nodule detection, characterisation, and report generation following TR requirements, and assess its impact on efficiency, agreement, and diagnostic accuracy.