使用人工智能应用程序和光谱仪对颜色匹配精度的评估:光度分析:光度分析
Nurşen Şahin1, Necati Kaleli2, Çağrı Ural3
1Assistant Professor, Department of Prosthodontics, Faculty of Dentistry, Giresun University, Giresun, Turkey.
The Journal of prosthetic dentistry
|August 10, 2025
概括
人工智能 (AI) 应用对牙颜色匹配有希望,但光谱相仪仍然更准确. 人工智能取得的结果超过了临床上可接受的值,这表明了未来应用的潜力.
科学领域:
- 数字牙科数字牙科
- 医疗保健中的人工智能
- 颜色科学 颜色科学
背景情况:
- 人工智能 (AI) 应用越来越多地用于牙科.
- 有限的研究评估了AI在精确匹配牙颜色方面的成功.
- 这项研究解决了在牙科测色仪中对AI的客观评估的需要.
研究的目的:
- 将AI应用程序的颜色匹配精度与光谱相机进行比较.
- 用标准化的颜色样本在体外评估AI的性能.
主要方法:
- 使用了来自VITA Toothguide 3D-Master尺度的13颗烯酸树脂牙.
- 人工智能小组 (ChatGPT-4,Gemini 1.5 Pro) 分析了手机照片.
- 光谱仪 (Easyshade) 提供了参考颜色测量 (L*,a*,b*);CIEDE2000 (ΔE00) 计算了颜色差异.
主要成果:
- 平均颜色差异 (ΔE00):易影光谱仪 (ES) = 0.7,双子座 1.5 Pro (G) = 1.94,聊天GPT-4 (C) = 2.84. 这是一个很大的差异.
- ES的准确性明显高于两种AI应用程序 (C的P=.017,G的P=.029).
- 人工智能组 (C和G) 在统计学上相似 (P=.844).
结论:
- 与AI相比,Easyshade光谱仪在牙颜色匹配方面表现出更高的准确性.
- 人工智能颜色匹配的准确度超过了临床上可接受的值 (ΔE00 > 1.8).
- 人工智能应用显示出潜力,但需要进一步开发临床牙颜色匹配.
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