Abstract: The disclosed embodiment relates to a composition and system comprising Artificial Intelligence integrated molecular cytology and radiology for triaging of thyroid nodules. More particularly, the composition comprises of biomarkers WGA, Galectin-3, HBME-1 and MAA. The combination of Galectin-3 and WGA expression in cytology-based assay with USG images illustrated a sensitivity of 84% and 96% specificity in delineating benign and malignant nodules. The combination can differentiate cancer and benign nodules of indeterminate nodules with specificity of 93% and sensitivity of 80% using markers and USG. System uses Artificial Intelligence for triaging of thyroid nodules, including a preprocessed fusion model developed using a fully connected neural network. The preprocessed fusion model achieved an AUC of 0.71, which increased to 0.91 (sensitivity: 84%, specificity: 96%) when combined with post-processing scores. Incorporating clinical parameters of TIRAD Bethesda scores further improved the AUC to 0.