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Optimizing Thyroid Nodule Management With Artificial Intelligence: Multicenter Retrospective Study on Reducing Unnecessary Fine Needle Aspirations

Optimizing Thyroid Nodule Management With Artificial Intelligence: Multicenter Retrospective Study on Reducing Unnecessary Fine Needle Aspirations

The performance of artificial intelligence across different American Thyroid Association guideline categories. a FNA: fine needle aspiration. b AI: artificial intelligence. The AI system demonstrated promising performance across different ATA guideline categories. For low suspicion nodules, the AI avoided 73.7% (2587/3508) of thyroid nodules, with a correct classification rate of 97%.

Jia-Hui Ni, Yun-Yun Liu, Chao Chen, Yi-Lei Shi, Xing Zhao, Xiao-Long Li, Bei-Bei Ye, Jing-Liang Hu, Li-Chao Mou, Li-Ping Sun, Hui-Jun Fu, Xiao-Xiang Zhu, Yi-Feng Zhang, Lehang Guo, Hui-Xiong Xu

JMIR Med Inform 2025;13:e71740