人工智能和机器学习在保守牙科和内脏病学中的作用:一篇综述
Rajinder K Bansal1, Ashtha Arya1, Birmohan Singh2
1Department of Conservative Dentistry and Endodontics, Shree Guru Govind Singh Tricentanary Dental College, Hospital and Research Institute, Gurugram, IND.
Cureus
|August 25, 2025
概括
人工智能 (AI) 和机器学习 (ML) 正通过提高诊断和治疗效率来改变保守的牙科和内牙科. 必须解决数据局限性和可解释性等挑战, 以实现更广泛的采用和更好的牙科护理.
科学领域:
- 牙科科学
- 计算机科学
- 人工智能
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 越来越多地被用于牙科.
- 这些技术为保守牙科和内牙科提供了潜在的进步.
研究的目的:
- 审查AI和ML在保守牙科和内牙科中的应用,方法,优势和挑战.
- 探索AI/ML如何彻底改变诊断准确性,治疗规划和程序效率.
主要方法:
- 对AI和ML在保守牙科和内牙科中的应用进行叙述性审查.
- 分析人工智能驱动的系统,如卷积神经网络 (CNN) 用于图像分析.
- 预测模型,自然语言处理和生成对抗网络的探索.
主要成果:
- 人工智能擅长分析牙成像 (X光影像,CBCT) 以检测,病变和根管形态.
- 人工智能简化了阴影确定和工作长度测量等任务,减少了错误.
- 预测模型通过评估牙和内牙并发症风险来实现个性化治疗计划.
结论:
- 人工智能和机器学习为牙科提供精确,高效和以患者为中心的解决方案.
- 解决数据局限性,可解释性,成本和道德问题等挑战至关重要.
- 未来将人工智能纳入临床工作流程有望提高牙科护理质量和治疗成功.
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