About this Research Topic
Oral potentially malignant disorders (including leukoplakia, erythroplakia, proliferative verrucous leukoplakia and oral submucous fibrosis) are well-known for their possible malignant transformation. The progression of these lesions to oral cancer has been extensively researched during the last decade. Similarly, the progression of oral cancer to invade the surrounding tissue and to metastasize to regional lymph nodes or to distant organs has been widely studied. Early diagnosis and accurate prognostication remain the cornerstone for improving the outcome of these lesions. Recently, the application of artificial intelligence has been introduced as a promising tool in cancer diagnostic and prognostic studies. The aim of this Research Topic is to publish the most recent perspectives about the application of artificial intelligence in diagnosis and management of oral cancer and oral potentially malignant disorders.
This call will consider papers on artificial intelligence algorithms, techniques, and studies on machine learning–based prediction models vs. traditional statistical methods. In addition, deep learning to generalize more complex and realistic heterogeneous big data sets will be considered. The concerns of the clinicians and any limitations related to the use of artificial intelligence applications in a daily practice and the future prospects are also welcome.
We welcome submission of papers on “Artificial Intelligence Applications in Oral Cancer and Oral Potentially Malignant Disorders”. We welcome research and review articles about the use of artificial intelligence in screening, diagnosis, management and prognosis of oral cancer and oral potentially malignant disorders. We also welcome image analysis studies based on artificial intelligence techniques for diagnostic and prognostic purposes of oral cancer and oral potentially malignant disorders.
Keywords: Artificial Intelligence, Oral Cancer, Oral Potentially Malignant Disorders, Progression
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.