牙周内科的人工智能:基本原则,工作流程和任务
Seyed AmirHossein Ourang1, Fatemeh Sohrabniya2, Hossein Mohammad-Rahimi2
1Dentofacial Deformities Research Center, Research Institute of Dental Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
International endodontic journal
|July 26, 2024
概括
人工智能 (AI) 对牙周内科医生提供了显著的好处,特别是在解释牙科放射图时. 弥合机器学习和深度学习的知识差距对于AI至关重要.
科学领域:
- 牙科 牙科是指牙科的专业.
- 人工智能的人工智能
- 放射学 放射学是一门学科.
背景情况:
- 人工智能 (AI) 正在推进医疗保健,特别是在图像解释方面.
- 牙周内科医生可以从人工智能中在分析放射图像方面获得巨大的好处.
- 牙周内科医生之间存在关于机器学习 (ML) 和深度学习 (DL) 基本知识的知识差距.
研究的目的:
- 解释ML和DL原则和神经网络架构.
- 概述人工智能解决方案开发工作流程,从数据收集到临床集成.
- 讨论人工智能在内牙诊断和治疗中的应用.
主要方法:
- 这篇叙事评论详细介绍了AI原则和应用.
- 它解释了开发和整合AI解决方案的过程.
- 讨论了与内牙科相关的特定AI任务.
主要成果:
- 人工智能在牙周内科提供了多样化的应用,包括通过计算机视觉进行图像分析.
- 自然语言处理可以从文本数据中提取见解.
- 通过验证,人工智能技术可以改善诊断,治疗计划,教育和患者护理.
结论:
- 人工智能具有很大的潜力,可以促进内牙科的研究,实践和教育.
- 成功的AI整合需要临床医生,计算机科学家和工业之间的合作.
- 不断发展的合作伙伴关系是实现人工智能在牙周内科的全部好处的关键.
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