Artificial intelligence in oral and maxillofacial pathology is in relatively nascent stages but can be used to assist pathologists in detecting certain lesions (such as squamous cell carcinoma), classifying tissues, and prognosticating the behavior of tumors. Comparing performance of different artificial intelligence strategies for a given task is difficult due to the lack of robust publicly available datasets, which is important due to the large degree of preanalytical variance in the creation of digital pathology images.