Artificial intelligence in the study of oral lichen planus characteristics: a review
7.5
来源：
Nature
关键字：
AI brain science
发布时间：
2025-12-05 03:32
摘要：
The review highlights the significant potential of artificial intelligence (AI) in enhancing the diagnosis and management of oral lichen planus (OLP). By leveraging AI technologies, particularly machine learning and deep learning, the study emphasizes improvements in diagnostic accuracy, risk assessment, and molecular characterization of OLP. It discusses the challenges and future directions for integrating AI into clinical practice, including the need for standardized datasets and external validation of AI models.
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价值维度分析
domain_focus
1.0分+1.0分
business_impact
0.5分+0.5分
scientific_rigor
1.5分+1.5分
timeliness_innovation
1.5分+1.5分
investment_perspective
2.5分+2.5分
market_value_relevance
1.0分+1.0分
team_institution_background
0.5分+0.5分
technical_barrier_competition
1.0分+1.0分
关键证据
AI demonstrates considerable potential to improve diagnostic objectivity.
Machine learning algorithms have surpassed traditional statistical approaches in predicting malignant transformation risk.
AI can effectively integrate demographic, clinicopathological, and treatment data to support risk stratification.
真实性检查
否
AI评分总结
The review highlights the significant potential of artificial intelligence (AI) in enhancing the diagnosis and management of oral lichen planus (OLP). By leveraging AI technologies, particularly machine learning and deep learning, the study emphasizes improvements in diagnostic accuracy, risk assessment, and molecular characterization of OLP. It discusses the challenges and future directions for integrating AI into clinical practice, including the need for standardized datasets and external validation of AI models.