Artificial Intelligence-based Prescription of Personalized Scalp Cosmetics

Seoul National University

Status: Completed

Conditions: Dandruff; Folliculitis

Treatments: Drug: shampoos and scalp serums

Study type: Interventional

Funder types: Other

Identifiers

NCT06052241

B-2107-697-301

Details and patient eligibility

About

The investigators aimed to evaluate whether they can be improved by an AI-based personalized prescription of scalp cosmetics.

Enrollment: 100 patients

Sex: All

Ages: 19+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

1. healthy adults aged >19 years
2. presence of scalp-related discomfort (such as itching, a sensation of heat, dandruff, excessive sebum, dryness, pain, or pimple)

Exclusion criteria

1. presence of active infectious scalp diseases
2. history of treatment with topical or systemic steroids, oral immunosuppressants, topical or systemic antibiotics, or antifungal agents that could affect the scalp conditions, within 4 weeks prior to the baseline
3. difficulty understanding or following the protocol

Trial design

Primary purpose: Treatment

Allocation: Non-Randomized

Interventional model: Sequential Assignment

Masking: None (Open label)

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100 participants in 2 patient groups

Post-treatment

Active Comparator group

Description:

After treatment using shampoo and scalp serum personalized according to their Scalp Photographic Index Artificial Intelligence (SPI-AI)-defined scalp types

Treatment:

Drug: shampoos and scalp serums

Pre-treatment

No Intervention group