An artificial neural network for the prediction of the risk of malignancy in category III Bethesda thyroid lesions.

The present ANN model is well structured and coherent to distinguish malignant from benign outcomes in AUS/FLUS cases on cytology smears with no error. This is an open-ended ANN model, and additional parameters and more cases could be included to make the model more robust.