About this Research Topic
Artificial Intelligence (AI) holds immense promise in the field of early diagnosis and outcome prediction in oral oncology. Leveraging sophisticated machine learning algorithms, AI can sift through extensive medical data, including patient records and diagnostic images. Moreover, AI could assist oral health providers with predictive capabilities, thus enabling tailored treatment strategies based on individual tumor characteristics and patient profiles, fostering more personalized and effective interventions.
The aim of this Research Topic is to address the pressing need for more accurate and timely diagnosis, as well as improved outcome prediction, in oral oncology. Despite advancements in medical technology, detecting and prognosis oral cancer remains challenging, frequently resulting in delayed diagnoses and suboptimal treatment outcomes. By achieving this goal, we strive to revolutionize oral oncology care, offering patients earlier interventions, tailored treatment strategies, and ultimately, improved survival rates.
Our aim is to delve into the integration of AI into oral oncology, with a particular emphasis on early diagnosis and outcome prediction. Contributors are encouraged to investigate themes such as the development and validation of AI algorithms for detecting oral cancers across different diagnostic modalities. We welcome manuscripts including systematic reviews, prospective studies, and opinion pieces to provide a comprehensive understanding of AI's role in oral oncology.
The aim of this Research Topic is to address the pressing need for more accurate and timely diagnosis, as well as improved outcome prediction, in oral oncology. Despite advancements in medical technology, detecting and prognosis oral cancer remains challenging, frequently resulting in delayed diagnoses and suboptimal treatment outcomes. By achieving this goal, we strive to revolutionize oral oncology care, offering patients earlier interventions, tailored treatment strategies, and ultimately, improved survival rates.
Our aim is to delve into the integration of AI into oral oncology, with a particular emphasis on early diagnosis and outcome prediction. Contributors are encouraged to investigate themes such as the development and validation of AI algorithms for detecting oral cancers across different diagnostic modalities. We welcome manuscripts including systematic reviews, prospective studies, and opinion pieces to provide a comprehensive understanding of AI's role in oral oncology.
Keywords: Neoplasms, Mouth, Squamous Cell Carcinoma of Head and Neck, Artificial Intelligence, Oral Oncology, Carcinogenesis, Diagnostic Techniques and Procedures
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.
