Artificial Intelligence: Transforming Diagnosis and Prognosis in Oral Potentially Malignant Disorders

The study of Oral Potentially Malignant Disorders (OPMDs) is an essential facet of oral health, recognized for its high risk of progressing into malignant diseases. Early identification and accurate diagnosis are crucial for improving treatment outcomes. Recently, Artificial Intelligence (AI) has shown significant promise across various medical fields, introducing groundbreaking possibilities for better diagnostic and prognostic measures in oral health care.

This research topic is driven by the objective to delve into the application spectrum of AI in the detection and outcome prediction of OPMDs. A thorough exploration of the current state of AI in this domain not only addresses the current technological integrations but also seeks to outline future directions that could substantially enhance the precision and speed of OPMD evaluations.

To effectively advance this field, we will concentrate on the integration and impact of AI technologies in OPMD management. This Research Topic seeks comprehensive studies and insightful papers in areas including, but not limited to:

- Comparative analysis of AI models against traditional diagnostic methods.
- Innovation in AI algorithms specific to OPMD prognosis prediction.
- Challenges and opportunities in applying AI in low-resource settings.
- Ethical considerations and patient privacy in the deployment of AI in oral health.

This collection aims to augment existing knowledge and catalyze a technological shift in the management of oral health, particularly in potentially malignant pathologies.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Classification
• Clinical Trial
• Community Case Study
• Curriculum, Instruction, and Pedagogy
• Data Report
• Editorial
• FAIR² Data
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Classification
• Clinical Trial
• Community Case Study
• Curriculum, Instruction, and Pedagogy
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Policy Brief
• Review
• Study Protocol
• Systematic Review
• Technology and Code

Keywords: artificial intelligence, Oral Potentially Malignant Disorders, diagnosis, prevention, OPMD, AI, oral cancer, OSCC, Oral Oncology

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.