牙周内科的人工智能:数据准备,临床应用,伦理考虑,局限性和未来方向
Hossein Mohammad-Rahimi1, Fatemeh Sohrabniya1, Seyed AmirHossein Ourang2
1Topic Group Dental Diagnostics and Digital Dentistry, ITU/WHO Focus Group AI on Health, Berlin, Germany.
International endodontic journal
|July 30, 2024
概括
人工智能 (AI) 在牙周内科提供了重要的潜力,用于诊断和治疗规划等任务. 然而,必须解决数据,伦理和临床整合方面的挑战,以便在内牙科实践中广泛采用AI.
科学领域:
- 牙科 牙科是指牙科的专业.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 越来越被认为是医疗保健中的变革性技术.
- 人工智能应用的理解和内牙专家之间的局限性存在一个知识差距.
- 牙科专业内科医疗将从人工智能进步中受益显著.
研究的目的:
- 审查在内牙科实施人工智能模型的技术和伦理考虑.
- 为了检查AI在牙周内科的评估指标.
- 为了调查当前的AI应用,局限性,以及牙周内科的未来潜力.
主要方法:
- 关于人工智能在内牙科中的应用的综合文献综述.
- 对人工智能数据利用的技术和伦理方面的分析.
- 评估人工智能性能指标和临床实施障碍.
主要成果:
- 人工智能技术在内牙科中应用于检测放射性病变,分析根管形态和预测治疗结果.
- 深度学习模型,特别是卷积神经网络,在这些内牙应用中显示出高精度.
- 关键的挑战包括模型的解释性,概括性和整合到临床工作流程中.
结论:
- 人工智能具有很大的潜力,可以提高诊断,治疗计划和内牙科教育.
- 解决与数据,伦理和临床采用相关的局限性对于成功的AI集成至关重要.
- 需要进一步的研究和协作努力,以促进AI在牙周内科实践中无实施.
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