成人和儿童牙科的人工智能:叙述性审查
Seyed Mohammadrasoul Naeimi1, Shayan Darvish2, Bahareh Nazemi Salman3
1School of Dentistry, Zanjan University of Medical Sciences, Zanjan 4513956184, Iran.
Bioengineering (Basel, Switzerland)
|May 25, 2024
概括
人工智能 (AI) 通过分析口腔癌和牙等疾病的放射图来增强牙科诊断. 虽然存在挑战,但人工智能能提供更快,更便宜的诊断和早期检测,特别是在儿科病例中.
科学领域:
- 牙科信息学 牙科信息学
- 医疗保健中的人工智能
- 机器学习在牙科中的应用.
背景情况:
- 人工智能 (AI) 在临床牙科中越来越多地用于快速准确的医疗数据分析.
- 人工智能,特别是机器学习 (ML) 和卷积神经网络 (CNN),可以从牙科数据库中提取有价值的信息,特别是放射图.
研究的目的:
- 审查人工智能技术在各种牙科子领域的当前应用.
- 评估ML算法的有效性,包括CNN在诊断口腔癌,,牙周病等疾病.
- 为了特别解决人工智能在儿科牙科病例中的作用,这在以前的审查中经常被忽视的人口统计学.
主要方法:
- 在主要的数据库中进行了广泛的电子文献搜索:PubMed,Google Scholar,Scopus和Medline.
- 专注于详细研究AI和ML模型在牙科诊断和治疗辅助中的应用.
- 包括对卷积神经网络 (CNN) 及其在不同患者群体中的表现的特别关注.
主要成果:
- 人工智能模型在诊断广泛的牙科疾病方面具有显著的潜力,包括口腔癌,,关节疾病.
- 积极的结果包括降低诊断成本和时间,以及改善早期检测能力,特别是对于口腔癌.
- 人工智能应用甚至在儿童牙科和识别微妙的放射性特征等专业领域也显示出前景.
结论:
- 尽管存在诸如数据管理和潜在偏见等实施挑战,但人工智能为临床牙科提供了巨大的好处.
- 进一步的研究和开发对于克服现有的障碍和充分实现AI在牙科实践中的潜力至关重要.
- 人工智能技术即将彻底改变牙科诊断,提高效率和患者的治疗结果.
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