Acne Detection Software (AcneDect)

NCT ID: NCT04060160

Last Updated: 2025-01-15

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

TERMINATED

Total Enrollment

25 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-10-29

Study Completion Date

2024-09-30

Brief Summary

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This study is to create a self-learning software that can detect acne lesions. Patients take a picture of their face every single day for 3 months with a secure mobile phone and fill out a pre-designed questionnaire. After 3 months, the mobile will be collected back and the pictures will be evaluated by 3 dermatologists. The software is able to learn from the dermatologists' evaluation and -using machine learning- a mechanism that should be able to automatically detect acne to some extent will be established.

Detailed Description

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Conditions

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Acne Lesions Acne Vulgaris

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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Self- learning software that can detect acne lesions

Self- learning software that can detect acne lesions from patients who take a picture of their face every single day for 3 months with a secure mobile phone.

Intervention Type OTHER

Patient reported outcomes

Collection of patient reported outcomes and clinical data via a mobile electronic case report form

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Acne vulgaris

Exclusion Criteria

* Refusal to participate
Minimum Eligible Age

10 Years

Maximum Eligible Age

35 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Hospital, Basel, Switzerland

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Alexander A. Navarini, Prof. Dr. MD

Role: PRINCIPAL_INVESTIGATOR

Dermatologische Klinik; Universitätshospital Basel

Locations

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Department of Dermatology, University Hospital Basel

Basel, , Switzerland

Site Status

Countries

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Switzerland

Other Identifiers

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2018-00702; sp19Navarini

Identifier Type: -

Identifier Source: org_study_id

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