Artificial intelligence and smart application for diagnosis of pediatric skin diseases

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

TCTR

Registry ID

TCTR20210816003

Enrollment

500

Registered

2021-08-16

Start date

2021-08-30

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

Acne vulgaris, Atopic dermatitis, Seborrheic dermatitis, Irritant contact dermatitis, Psoriasis vulgaris, Xerosis cutis, Vitiligo, Cafe au lait spots, Melanocytic nevi, Congenital non-neoplastic nevus Artificial intelligence, pediatric skin diseases

Interventions

Pediatric patients with one of the following skin disease: Acne vulgaris, Atopic dermatitis, Seborrheic dermatitis, Irritant contact dermatitis, Psoriasis vulgaris, Xerosis cutis, Vitiligo, Cafe au la

Other

Pediatric skin disease group

Eligibility

Sex/Gender

All

Age

No minimum to 18 Years

Inclusion criteria

Inclusion criteria: 1. Thai children 2. Diagnosed with one of the following disease: Acne vulgaris, Atopic dermatitis, Seborrheic dermatitis, Irritant contact dermatitis, Psoriasis vulgaris, Xerosis cutis, Vitiligo, Cafe au lait spots, Melanocytic nevi, Congenital non-neoplastic nevus

Exclusion criteria

Exclusion criteria: Does not consent to the study protocol

Design outcomes

Primary

Measure	Time frame
Photographic database of pediatric skin diseases At hospital visit Number of photographs	—

Secondary

Measure	Time frame
Profile of pediatric patients with skin diseases At hospital visit Demographic data	—

Countries

Thailand

Contacts

Public ContactKaraked Chantawarangul

Chulalongkorn University

karaked.c@chula.ac.th6622565359

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 9, 2026