In Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
Oral potentially malignant disorders (OPMDs) represent precursor lesions that may undergo malignant transformation to oral cancer. There are many known risk factors associated with the development of OPMDs, and contribute to the risk of malignant transformation. Although many advances have been reported to understand the biological behaviour of OPMDs, their clinical features that indicate the characteristics of malignant transformation are not well established. Early diagnosis of malignancy is the most important factor to improve patients' prognosis. The integration of Machine Learning (ML) into routine diagnosis has recently emerged as an adjunct to aid clinical examination. Increased performances of artificial intelligence (AI)-assisted medical devices are claimed to exceed the human capability in the clinical detection of early cancer. Therefore, the aim of this narrative review is to introduce AI terminology, concepts and models currently used in Oncology to familiarize oral medicine scientists with the language skills, best research practices, and knowledge for developing ML models applied to the clinical detection of OPMDs.
Souza Lucas Lacerda de, Fonseca Felipe Paiva, Araújo Anna Luiza Damaceno, Lopes Marcio Ajudarte, Vargas Pablo Agustin, Khurram Syed Ali, Kowalski Luiz Paulo, Dos Santos Harim Tavares, Warnakulasuriya Saman, Dolezal James, Pearson Alexander T, Santos-Silva Alan Roger
2023-Feb-15
diagnosis, machine learning, oral potentially malignant disorder, technology
