NCT07391423

Brief Summary

To assess the feasibility of AIGPP video interactions with psoriasis patients. To explore patient attitudes, trust, and comfort levels concerning AIGPP interactions in a healthcare setting, and to understand their influence on the patient-physician dynamic. To evaluate medication adherence over a 4-week period in patients with psoriasis randomized to weekly AI-generated automated physician providers (AIGPP) video interactions, weekly human video calls, or standard care (single follow up visit after 4 weeks). Adherence rates will be evaluated via a cap designed to record adherence attached to the study medication container.

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
15

participants targeted

Target at below P25 for not_applicable

Timeline
32mo left

Started Jul 2026

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

January 21, 2026

Completed
15 days until next milestone

First Posted

Study publicly available on registry

February 5, 2026

Completed
5 months until next milestone

Study Start

First participant enrolled

July 1, 2026

Expected
2.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2028

3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

March 1, 2029

Last Updated

April 28, 2026

Status Verified

April 1, 2026

Enrollment Period

2.4 years

First QC Date

January 21, 2026

Last Update Submit

April 27, 2026

Conditions

Keywords

Psoriasis Treatment Outcomesmedication adherenceArtificial intelligence

Outcome Measures

Primary Outcomes (2)

  • Ability to implement AIGPP system and Rate of dropout in AIGPP trial arm

    One primary outcome of the study is the feasibility of AIGPP interactions with psoriasis patients, which will be measured as whether we can create \& implement the AIGPP system and the dropout rate in the AIGPP arm

    Week 4

  • Thematic analysis of qualitative interviews regarding psoriasis patients' attitudes, trust, and comfort levels with AIGPP interactions in a healthcare setting

    Another primary outcome will be psoriasis patients' attitudes, trust, and comfort levels with AIGPP interactions in a healthcare setting, which will be measured by semi-structured qualitative interviews analyzed via a thematic analysis.

    Week 4

Secondary Outcomes (3)

  • Rate of Adherence

    Week 4

  • Rate of PASI75, PASI90, PASI100, and IGA of 0 or 1

    Baseline, Week 4

  • Rate of adverse events

    Week 4

Study Arms (3)

AI intervention group

EXPERIMENTAL

Subject will receive with topical betamethasone dipropionate cream (BD) and have a weekly virtual visit with an AI-generated automated physician provider (AIGPP).

Behavioral: Artificial intelligence

Human intervention group

EXPERIMENTAL

Subjects will receive BD and receive weekly video calls from study staff

Behavioral: Human

Standard of Care Group

OTHER

Subjects will receive BD and scheduled for a single follow up visit in 4 weeks

Other: Standard of Care

Interventions

patients will receive BD and have a weekly virtual visit with an AIGPP

Also known as: Artificial intelligence (AI)
AI intervention group
HumanBEHAVIORAL

patients will receive BD and receive weekly video calls from study staff

Human intervention group

patients will receive BD and scheduled for a single follow up visit in 4 weeks

Standard of Care Group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Patients ≥18 years of age
  • Patients with a current diagnosis of psoriasis suitable for treatment with topical Betamethasone (BD)
  • Patients who live in the United States
  • Patients with a sufficient command of the English language
  • Patients with a mobile device able to at least operate at 25 frames per second (FPS).

You may not qualify if:

  • Patients less than the age of 18
  • Patients with severe or unstable comorbid conditions
  • Patient who are pregnant or breastfeeding
  • Patients with any other skin conditions that prohibit or confound the ability of the investigator to interpret skin findings
  • Patients that are taking concomitant topical or systemic therapy for the treatment of psoriasis and/or phototherapy
  • Patients without mobile devices able to at least operate at 25 frames per second (FPS).
  • Patients without a current diagnosis of psoriasis suitable for treatment with topical BD

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Wake Forest University Health Sciences Department of Dermatology

Winston-Salem, North Carolina, 27157, United States

Location

MeSH Terms

Conditions

PsoriasisMedication Adherence

Interventions

Artificial IntelligenceStandard of Care

Condition Hierarchy (Ancestors)

Skin Diseases, PapulosquamousSkin DiseasesSkin and Connective Tissue DiseasesPatient CompliancePatient Acceptance of Health CareTreatment Adherence and ComplianceHealth BehaviorBehavior

Intervention Hierarchy (Ancestors)

AlgorithmsMathematical ConceptsQuality Indicators, Health CareQuality of Health CareHealth Services AdministrationHealth Care Quality, Access, and Evaluation

Study Officials

  • Steven R Feldman, M.D., Ph.D.

    Wake Forest University Health Sciences

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

January 21, 2026

First Posted

February 5, 2026

Study Start (Estimated)

July 1, 2026

Primary Completion (Estimated)

December 1, 2028

Study Completion (Estimated)

March 1, 2029

Last Updated

April 28, 2026

Record last verified: 2026-04

Data Sharing

IPD Sharing
Will not share

Locations