Vinay Vineet, Jodalli Praveen, Chavan Mahesh S, Buddhikot Chaitanya S, Luke Alexander Maniangat, Ingafou Mohamed Saleh Hamad, Reda Rodolfo, Pawar Ajinkya M, Testarelli Luca
Department of Public Health Dentistry, Manipal College of Dental Sciences Mangalore, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India.
Department of Public Health Dentistry, Sinhgad Dental College & Hospital, Pune 411041, Maharashtra, India.
Diagnostics (Basel). 2025 Jan 24;15(3):280. doi: 10.3390/diagnostics15030280.
: Oral cancer, the sixth most common cancer worldwide, is linked to smoke, alcohol, and HPV. This scoping analysis summarized early-onset oral cancer diagnosis applications to address a gap. : A scoping review identified, selected, and synthesized AI-based oral cancer diagnosis, screening, and prognosis literature. The review verified study quality and relevance using frameworks and inclusion criteria. A full search included keywords, MeSH phrases, and Pubmed. Oral cancer AI applications were tested through data extraction and synthesis. : AI outperforms traditional oral cancer screening, analysis, and prediction approaches. Medical pictures can be used to diagnose oral cancer with convolutional neural networks. Smartphone and AI-enabled telemedicine make screening affordable and accessible in resource-constrained areas. AI methods predict oral cancer risk using patient data. AI can also arrange treatment using histopathology images and address data heterogeneity, restricted longitudinal research, clinical practice inclusion, and ethical and legal difficulties. Future potential includes uniform standards, long-term investigations, ethical and regulatory frameworks, and healthcare professional training. : AI may transform oral cancer diagnosis and treatment. It can develop early detection, risk modelling, imaging phenotypic change, and prognosis. AI approaches should be standardized, tested longitudinally, and ethical and practical issues related to real-world deployment should be addressed.
口腔癌是全球第六大常见癌症，与吸烟、饮酒和人乳头瘤病毒有关。本范围分析总结了早期口腔癌诊断应用，以填补空白。：一项范围综述确定、选择并综合了基于人工智能的口腔癌诊断、筛查和预后文献。该综述使用框架和纳入标准验证了研究质量和相关性。全面搜索包括关键词、医学主题词和PubMed。通过数据提取和综合对口腔癌人工智能应用进行了测试。：人工智能在口腔癌筛查、分析和预测方面优于传统方法。卷积神经网络可利用医学图像诊断口腔癌。智能手机和支持人工智能的远程医疗使资源有限地区的筛查变得经济实惠且易于获得。人工智能方法利用患者数据预测口腔癌风险。人工智能还可利用组织病理学图像安排治疗，并解决数据异质性、纵向研究受限、临床实践纳入以及伦理和法律难题。未来的潜力包括统一标准、长期研究、伦理和监管框架以及医疗专业人员培训。：人工智能可能会改变口腔癌的诊断和治疗。它可以实现早期检测、风险建模、成像表型变化和预后评估。人工智能方法应标准化，进行纵向测试，并解决与实际应用相关的伦理和实际问题。
