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A Multi-centric Clinical Trial in China for Skin Diseases Intelligent Diagnosis and Treatment System

NCT ID: NCT05463523

Last Updated: 2022-12-21

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-04-15

Study Completion Date

2025-12-31

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Skin Diseases Artificial Intelligence Augmented Reality Medical Imaging

Keywords

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Augmented Reality Skin Tumor Surgery Plan and Navigation Dignosis and Treatment

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Study Groups

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Digital camera

A Real-time Augmented Reality Device with Artificial Intelligence Integration, acquisition of patient skin lesion images as data

A Real-time Augmented Reality Device with Artificial Intelligence Integration

Intervention Type DEVICE

Patients are diagnosed and treated with the assistance of artificial intelligence, augmented reality and new optical imaging technology, which is different from traditional model.

Interventions

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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.

Intervention Type DEVICE

Eligibility Criteria

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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.
Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Xiangya Hospital of Central South University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Xiangya Hospital

Changsha, Hunan, China

Site Status RECRUITING

Countries

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China

Facility Contacts

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Kai Huang

Role: primary

Other Identifiers

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XiangyaH001

Identifier Type: -

Identifier Source: org_study_id