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<p>This study examines the clinical and methodological implications of artificial intelligence-based aesthetic assessment in genioplasty. Key issues include the limitations of two-dimensional imaging for three-dimensional skeletal procedures, interpretation of sub-threshold quantitative changes, age-stratified analyses, and the need to align AI-derived metrics with clinically meaningful and patient-centered outcomes.</p><p><i>Level of Evidence V</i>&#xa0;This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors &#xa0;<a href="http://www.springer.com/00266">www.springer.com/00266</a>.</p>

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Comment on “AI-Based Quantitative and Objective Analysis of Aesthetic Results in Genioplasty”

  • 期刊论文

  • 发表日期：

    2026年3月10日

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  • Palavardhan Peddapalegani,
  • Raghav Gupta,
  • Priyanka Bansal

摘要

This study examines the clinical and methodological implications of artificial intelligence-based aesthetic assessment in genioplasty. Key issues include the limitations of two-dimensional imaging for three-dimensional skeletal procedures, interpretation of sub-threshold quantitative changes, age-stratified analyses, and the need to align AI-derived metrics with clinically meaningful and patient-centered outcomes.

Level of Evidence V This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors  www.springer.com/00266.