Development of AI-Enhanced Thermographic Image to Early Detect Foot Thermal Abnormalities among Patients with Diabetes

Status

Active, not recruiting

Phases

Phase 1Phase 2

Study type

Interventional

Source

TCTR

Registry ID

TCTR20260108007

Enrollment

Registered

2026-01-08

Start date

2025-12-25

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

Patient with diabetes AI Thernographic Image Diabetes Diabetic foot ulceration

Interventions

Development of an Artificial Intelligence Based Thermographic Imaging Prototype for Assessing the Risk of Diabetic Foot Ulceration,Monofilament test,None,none,none,none,none,none,none,none,none,none,n

Experimental Device,Active Comparator Device,No Intervention No treatment,No Intervention No treatment,No Intervention No treatment,No Intervention No treatment,No Intervention No treatment,No Interve

artificail interkkugence-based thermographic image,monofilament test,none,none,none,none,none,none,none,none,none,none,none,none,none,none,none,none,none,none,none,none,none,none,none,none,none,none,n

Eligibility

Sex/Gender

All

Age

15 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Patient with diabetes 2. Older adults aged 60 years or over

Exclusion criteria

Exclusion criteria: Patient with diabetic foot ulceration

Design outcomes

Primary

Measure	Time frame
Risk of diabetes foot Ulceration 1 Risk of diabetes foot Ulceration	—

Secondary

Measure	Time frame
N/A N/A N/A	—

Countries

Thailand

Contacts

Public ContactPhrapokklao Nursing College

Phrapokklao Nursing College

rungnapha@pnc.ac.th039325781

Outcome results

None listed

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