Ardila, C.M.; Pineda-Vélez, E.; Vivares-Builes, A.M.; DÃaz-Laclaustra, A.I.
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. Med. Sci. 2026, 14, 183.
https://doi.org/10.3390/medsci14020183
AMA Style
Ardila CM, Pineda-Vélez E, Vivares-Builes AM, DÃaz-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. 2026; 14(2):183.
https://doi.org/10.3390/medsci14020183
Chicago/Turabian Style
Ardila, Carlos M., Eliana Pineda-Vélez, Anny M. Vivares-Builes, and Alejandro I. DÃaz-Laclaustra.
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 14, no. 2: 183.
https://doi.org/10.3390/medsci14020183
APA Style
Ardila, C. M., Pineda-Vélez, E., Vivares-Builes, A. M., & DÃaz-Laclaustra, A. I.
(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, 14(2), 183.
https://doi.org/10.3390/medsci14020183
