CM, A., E, P., AM, V., & AI, D. (2026). Artificial-Intelligence-Based Radiologic, Histopathologic, and Molecular Models for the Diagnosis and Classification of Malignant Salivary Gland Tumors: A Systematic Review and Functional Meta-Synthesis. Medical sciences (Basel, Switzerland), 14(2), . https://doi.org/10.3390/medsci14020183
Chicago Style (17th ed.) CitationCM, Ardila, Pineda-Vélez E, Vivares-Builes AM, and Díaz-Laclaustra AI. "Artificial-Intelligence-Based Radiologic, Histopathologic, and Molecular Models for the Diagnosis and Classification of Malignant Salivary Gland Tumors: A Systematic Review and Functional Meta-Synthesis." Medical Sciences (Basel, Switzerland) 14, no. 2 (2026). https://doi.org/10.3390/medsci14020183.
MLA (9th ed.) CitationCM, Ardila, et al. "Artificial-Intelligence-Based Radiologic, Histopathologic, and Molecular Models for the Diagnosis and Classification of Malignant Salivary Gland Tumors: A Systematic Review and Functional Meta-Synthesis." Medical Sciences (Basel, Switzerland), vol. 14, no. 2, 2026, https://doi.org/10.3390/medsci14020183.