Artificial intelligence for detection of oral potentially malignant and malignant conditions
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 1,000
- 试验地点
- 1
- 主要终点
- Accuracy of AI -assisted oral cancer detection compared to traditional methods
研究概览
简要总结
The study aims to develop an AI- based computer vision algorithm to detect potentially malignant and malignant disorders of the oral cavity.
The study will use 1000 anonymized clinical photographs of potentially malignant and malignant lesions obtained from dental archives. These images will be annotated by oral medicine specialists and used to train a Convolutional Neural Network (CNN) algorithm.
The performance of the AI model will be evaluated using sensitivity, precision and F1 scores on a validation dataset.
The study suggests that this AI network could improve the accuracy of detecting oral conditions and serve as the an adjuvant for dentists and an early indicator for patients to take necessary action
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 15.00 Year(s) 至 85.00 Year(s)（—）
- 性别
- All
入选标准
- •subjects with oral potentially malignant and malignant conditions.
排除标准
- 未提供
结局指标
主要结局
Accuracy of AI -assisted oral cancer detection compared to traditional methods
时间窗: as it is a cross sectional study no specific points
次要结局
- Impact of AI-assisted oral cancer screening on patient anxiety & compliance with follow -up appointments(as it is a cross sectional study there are no time points)