关于人工智能为牙科使用的最新进展的全面审查 电子健康
Imran Shafi1, Anum Fatima2, Hammad Afzal3
1College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
Diagnostics (Basel, Switzerland)
|July 14, 2023
概括
牙科领域的人工智能 (AI) 提高了使用X射线和红外成像的疾病诊断. 诸如有限的数据和可解释性等挑战需要进一步研究,以改善牙科护理中的AI模型.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 牙科 牙科是指牙科的专业.
背景情况:
- 自20世纪50年代以来,牙科诊断一直依赖于X射线和红外成像.
- 手动解释牙科图像是耗时且容易出现错误的,特别是对于经验较少的从业者来说.
- 先进的计算机视觉,机器学习和深度学习模型越来越多地用于自动牙科疾病诊断.
研究的目的:
- 为牙科成像解释中人工智能应用提供全面的调查.
- 确定和讨论阻碍人工智能模型在牙科中的表现的关键挑战.
- 提供对未来研究方向和伦理考虑的见解.
主要方法:
- 关于人工智能在牙科成像中的广泛文献评论.
- 在牙科中分析X射线和近红外成像系统.
- 在公共基准上对人工智能模型性能进行评估.
主要成果:
- 人工智能在自动化牙科成像解释方面取得了重大进展.
- 主要挑战包括有限的数据可用性,不平衡的数据集和缺乏模型透明度.
- 评估了各种AI方法的性能和方法.
结论:
- 解决数据限制和可解释性问题对于推动牙科人工智能发展至关重要.
- 需要进一步的研究来开发牙科诊断的强大和道德的人工智能解决方案.
- 人工智能具有很大的潜力,可以提高牙科疾病检测的准确性和效率.
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