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AI enabled mobile application for wound image assessment in ulcer patients

Novel technology for clinical validation of an Artificial intelligence enabled wound imaging mobile application in Ulcers

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/02/103577
Enrollment
120
Registered
2026-02-10
Start date
Unknown
Completion date
Unknown
Last updated
2026-04-27

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

Conditions

Health Condition 1: E116- Type 2 diabetes mellitus with other specified complications

Interventions

Sponsors

Saveetha medical college and hospital
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Adult patients more than or equal to 18 years with clinically diagnosed ulcers diabetic foot ulcers venous ulcers or pressure ulcers who provide informed consent and whose wounds are suitable for photographic documentation.

Exclusion criteria

Exclusion criteria: Patients with malignant ulcers, wounds not suitable for photographic capture, patients unwilling to provide informed consent, or those with severe systemic illness precluding participation

Design outcomes

Primary

MeasureTime frame
Agreement between AI generated wound tissue classification and wound dimension estimation and clinician gold-standard assessments.Timepoint: At the time of image capture during baseline and follow up visits.

Secondary

MeasureTime frame
Feasibility and usability of the AI-enabled wound imaging application in clinical use.Timepoint: Throughout study period

Countries

India

Contacts

Public ContactNihiladhithya

Saveetha medical college and hospital

naveen.nihil20@gmail.com9003325250

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: May 1, 2026