False Negative Rates in Benign Thyroid Nodule Diagnosis: Machine Learning for Detecting Malignancy

• Published in: The Journal of surgical research Vol. 268; pp. 562 - 569
• Main Authors: Idarraga, Alexander J., Luong, George, Hsiao, Vivian, Schneider, David F.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.12.2021
• Subjects: Bethesda II; False negative; Machine learning; Random forest; Thyroid nodules; Bethesda II; Random forest; False negative; Thyroid nodules; Machine learning

Thyroid nodules are common; up to 67% of adults will show nodules on high-quality ultrasound, and 95% of these nodules are benign. FNA cytology is a crucial step in determining the risk of malignancy, and a false negative diagnosis at this stage delays cancer treatment. The purpose of this study is...