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Development and Application of Deep Learning-based Artificial Intelligence System for Surgical Wound Characterization Assessment

Development and Application of Deep Learning-based Artificial Intelligence System for Surgical Wound Characterization Assessment

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500100730
Enrollment
Unknown
Registered
2025-04-14
Start date
2022-05-27
Completion date
Unknown
Last updated
2025-04-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

surgical incision

Interventions

Using Artificial Intelligence to Determine Incision Characteristics:NA

Sponsors

West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: Images of surgical incisions for surgical reasons

Exclusion criteria

Exclusion criteria: 1. images of wounds caused by non-surgical factors 2. images of surgical incisions with skin diseases around the incision 3. Combination of wounds other than surgical incisions, such as pressure injuries, etc.

Design outcomes

Primary

MeasureTime frame
Hamming Loss;—

Countries

China

Contacts

Public ContactChunLin Zhao

West China Hospital, Sichuan University

1058982293@qq.com+86 177 8065 1319

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026