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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT05463523
Other study ID # XiangyaH001
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date April 15, 2022
Est. completion date December 31, 2025

Study information

Verified date December 2021
Source Xiangya Hospital of Central South University
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

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.


Description:

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.


Recruitment information / eligibility

Status Recruiting
Enrollment 200
Est. completion date December 31, 2025
Est. primary completion date December 31, 2023
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group N/A and older
Eligibility Inclusion Criteria: - 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). Exclusion Criteria: - Having difficulties to follow-up. - Poor general condition.

Study Design


Related Conditions & MeSH terms


Intervention

Device:
A Real-time Augmented Reality Device with Artificial Intelligence Integration
Patients are diagnosed and treated with the assistance of artificial intelligence, augmented reality and new optical imaging technology, which is different from traditional model.

Locations

Country Name City State
China Xiangya Hospital Changsha Hunan

Sponsors (1)

Lead Sponsor Collaborator
Xiangya Hospital of Central South University

Country where clinical trial is conducted

China, 

Outcome

Type Measure Description Time frame Safety issue
Primary Doctors' Evaluation 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. Give an evaluation immediately after using the system and equipment.
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