Application of Laser Level in Standardized Facial Medical Photography

Standardized clinical photography is crucial for diagnosis, documentation, and research. However, existing protocols often rely on expensive equipment or operator skill, limiting adoption in resource-limited settings.

We developed a laser-level-assisted protocol for standardized facial photography using a smartphone. A total of 100 patients were photographed using both conventional and laser-level-assisted methods by two attending physicians. Three standard views were captured. Subjective image quality was evaluated using a modified 5-point Likert scale, and objective assessment was performed using ImageJ-based measurements. Statistical comparisons were conducted using linear mixed-effects models to account for within-subject clustering across methods, operators, and views.

Mixed-effects models showed that laser-level-assisted photography required less acquisition time than conventional photography (estimated mean difference = -4.06 s, 95% CI -4.71 to -3.44; P < 0.001) and achieved higher subjective scores (estimated mean difference = +0.64 points, 95% CI +0.60 to +0.68; P < 0.001) and objective scores (estimated mean difference = +1.52 points, 95% CI +1.25 to +1.79; P < 0.001). Inter-rater reliability for subjective scoring was excellent (ICC = 0.93). The laser-level-assisted workflow also showed minimal operator-related variation compared with conventional acquisition.

Laser-level-assisted smartphone photography provides a reproducible, cost-effective, and operator-independent approach for standardized facial medical imaging. This scalable method may facilitate clinical documentation, training, and mobile healthcare, particularly in resource-constrained settings.

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