Capturing Optimal Mobile 2D Facial Images in Remote Aesthetics Medicine Clinical Trials: Technical Considerations for Facial Severity Analysis

The Allergan Aesthetic mobile image app delivers consistent, high-quality images that allow for assessment of LCL and FHL in good agreement with in-person evaluation. Image self-capture using mobile devices may help reduce clinic costs and remove barriers to participation in aesthetic clinical trials.

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Publication Details

Journal
JMIR Formative Research
Published
2026-01-28
DOI
https://doi.org/10.2196/64764
Primary Topic
Digital Imaging in Medicine
Type
article
Field-Weighted Citation Impact
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article

Capturing Optimal Mobile 2D Facial Images in Remote Aesthetics Medicine Clinical Trials: Technical Considerations for Facial Severity Analysis

Damon Caiazza, Scott Kreutzkamp
JMIR Formative Research
Digital Imaging in Medicine
article

Capturing Optimal Mobile 2D Facial Images in Remote Aesthetics Medicine Clinical Trials: Technical Considerations for Facial Severity Analysis

Damon Caiazza, Scott Kreutzkamp
article en

Abstract

The Allergan Aesthetic mobile image app delivers consistent, high-quality images that allow for assessment of LCL and FHL in good agreement with in-person evaluation. Image self-capture using mobile devices may help reduce clinic costs and remove barriers to participation in aesthetic clinical trials.

JMIR Formative ResearchVol. 10
AbbVie (United States) (US)
Partnerships for the goals
Openalex Percentile: Top 76%
Digital Imaging in Medicine
DOIOpen Access PDFOpenAlex
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Capturing Optimal Mobile 2D Facial Images in Remote Aesthetics Medicine Clinical Trials: Technical Considerations for Facial Severity Analysis — Damon Caiazza, Scott Kreutzkamp · JMIR Formative Research (2026) | TGRS Research Map | TGRS