Advances in artificial intelligence are revolutionizing the preoperative evaluation of thyroid nodules, significantly improving diagnostic accuracy. By enhancing imaging, cytopathology diagnostics, and prognostic assessments, AI minimizes reliance on clinical judgment and reduces diagnostic errors. The ability to process large volumes of data enables a comprehensive analysis of thyroid conditions, facilitating the development of tailored treatment strategies. As a result, AI offers promising solutions to the challenges of overdiagnosis and overtreatment in thyroid care.
Review by Shen K, Tan M (…) Yang S et 2 al. in Eur J Surg Oncol
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