人工智能在修复牙科中的应用:一个范围审查
Quintessence international (Berlin, Germany : 1985)
|June 7, 2024
概括
人工智能 (AI) 在修复性牙科中提供了有前途的诊断和治疗辅助工具. 虽然准确,但人工智能应用需要进一步开发,以克服目前广泛临床使用的局限性.
科学领域:
- 牙科信息学 牙科信息学
- 人工智能在医学中的应用
- 恢复性牙科 恢复性牙科
背景情况:
- 在过去五年中,人工智能 (AI) 在修复性牙科的使用显著增长.
- 本文重点介绍了人工智能在常见修复性牙科手术中的当前应用,潜在好处和缺点.
研究的目的:
- 系统地审查和综合现有的AI应用在修复性牙科的文献.
- 识别和分类人工智能在牙科诊断,恢复寿命预测和治疗计划中的主要用途.
主要方法:
- 在四个主要数据库中进行了全面的电子文献搜索:MEDLINE/PubMed,Embase,Web of Science和Scopus.
- 在没有日期限制的情况下,以英语出版的研究也包括在内. 资格评估和数据提取由两名独立审查员进行,第三名审查员解决任何差异.
主要成果:
- 审查包括33项研究,分为疾病诊断/预测,恢复寿命评估和牙检测/治疗的AI.
- 关键的人工智能模型细节,数据集特征,样本大小和性能指标 (准确度,精度,灵敏度,特异性) 被提取并报告了每个研究.
结论:
- 人工智能系统在牙科诊断,预测和治疗方面具有相当大的潜力,具有很高的准确性.
- 仍然存在显著的局限性,需要进一步的研究和开发,以有效地将AI技术集成到常规的临床牙科实践中.
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