Based on Artificial Intelligence, Augmented Reality and New Optical Imaging Technology, the Research and Development of a Skin Diseases Intelligent Diagnosis and Treatment System: A Multi-centric Clinical Trial in China
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 200
- 试验地点
- 1
- 主要终点
- Doctors' Evaluation
研究概览
简要总结
In response to clinical needs, infrared multi-spectral images are combined with traditional clinical images and other multi-modal data to build a more efficient intelligent auxiliary diagnosis system and intelligent equipment for skin health and diseases, including skin lesions automatically segmentation on skin diseases images, automatically design surgical margin and planning for skin tumor surgery.
详细描述
Database: Relying on the preliminary foundation, build the first standardized infrared multispectral image database of skin diseases, and further integrate other medical images and medical history texts to iterate into a large multimodal skin disease database.
Model: Design a deep learning network based on multi-scale and multi-level. The collaborative attention learning network realizes the collaborative representation of multi-modal data at the feature level, builds a multi-modal skin disease auxiliary diagnosis model, and realizes breakthroughs in algorithms. Develop the segmentation network of skin lesions and model for surgery planning, including surgical margin design and navigation of intraoperative sampling.
System: Propose an artificial intelligence system combined with the real-time augmented reality to assist dignosis and surgery for skin diseases.
Equipment: Based on the self-developed high-performance system, construct and assemble infrared multi-spectral skin disease auxiliary diagnosis equipment and multifunctional device for skin tumors surgery.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Prospective
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Informed consented.
- •With a diagnosis of skin disease made by at least 3 dermatologists.
- •Without life-threatening risk to intervention.
- •Requires surgical treatment (For devices).
排除标准
- •Having difficulties to follow-up.
- •Poor general condition.
结局指标
主要结局
Doctors' Evaluation
时间窗: Give an evaluation immediately after using the system and equipment.
Compare the proposed system's perfomance with the doctors in the terms of the diganosis and lesion segmentation. After using the system and the device, doctors evaluated its performance on the Skin Lesion Boundary Description, Margin Design, Sampling Navigation, Projection Effect, Security, Time-consuming and Convenience. 0-10 points for each indicator is scored independently by 4 doctors.
次要结局
未报告次要终点