The Application of Artificial Intelligence for Predicting the Healing of Burn Wounds

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00037870

Enrollment

150

Registered

2025-09-10

Start date

2023-03-01

Completion date

Unknown

Last updated

2026-08-03

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

Conditions

T20-T30 Burns 2nd to 3rd degree

Interventions

Group 1: Arm 1 comprises photographic documentation of burn wounds after enzymatic debridement (Day 0) and after 21 days. The images are used to develop and validate an AI algorithm for healing predic

Eligibility

Sex/Gender

All

Age

18 Years to 65 Years

Inclusion criteria

Inclusion criteria: - Undergoing enzymatic debridement of the wound - At least one burn wound > 1% TBSA

Exclusion criteria

Exclusion criteria: - Wasting diseases (e.g., malignancies, infections, autoimmune diseases) - Other relevant comorbidities potentially affecting wound healing

Design outcomes

Primary

Measure	Time frame
Prediction of burn wound healing tendency by AI analysis of images taken at Day 0 and Day 21.	—

Secondary

Measure	Time frame
- Validation of the AI algorithm’s accuracy compared with clinical assessment. - Contribution to the standardization and objectification of wound evaluation. - Reduction of unnecessary surgical interventions through more precise prediction.	—

Countries

Germany

Contacts

Public ContactChristoph Wallner

Universitätsklinikum Bergmannsheil Bochum - Klinik für Plastische Chirurgie

christoph.wallner@bergmannsheil.de+492343023143

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Aug 10, 2026