牙科人工智能:对报告清单和指导方针的简要审查
Zohaib Khurshid1, Thanaphum Osathanon2, Mohamedamin Abdullahi Shire3
1Department of Prosthodontics and Dental Implantology, College of Dentistry, King Faisal University, Al-Ahsa, Saudi Arabia; Center of Artificial Intelligence and Innovation, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
International dental journal
|December 11, 2025
概括
牙科人工智能 (AI) 的标准化报告不一致,阻碍了信任和可重现性. 采用和协调AI报告框架对于可靠的临床整合至关重要.
科学领域:
- 牙科研究 牙科研究
- 人工智能的人工智能是人工智能.
- 医疗信息学医学信息学
背景情况:
- 人工智能 (AI) 越来越多地用于牙科诊断,成像和治疗计划.
- 目前在牙科中采用人工智能缺乏对标准化报告框架的一致遵守.
- 这种不一致性阻碍了研究的可复制性,透明度和监管接受度.
研究的目的:
- 系统地审查现有的AI报告框架,适用于牙科研究.
- 识别牙科当前AI报告实践中的方法领域,重叠和实施差距.
- 提出改善牙科人工智能的可信度和临床采用策略.
主要方法:
- 对医疗保健中人工智能的医疗报告准则的分析 (试验,协议,预测模型,偏见,决策支持,成像,系统审查).
- 包括牙科特定的检查清单和与人工智能相关的伦理框架.
- 系统地检查方法领域和跨识别框架的重叠领域.
主要成果:
- 牙科人工智能研究正在迅速扩大,但受到了碎片化和不一致的报道.
- 现有的医疗和牙科AI报告框架为透明度和严格提供了坚实的基础.
- 目前的牙科人工智能研究中显而易见的是,这些既定框架的大量不足利用.
结论:
- 协调现有的AI报告框架对于牙科研究至关重要.
- 通过期刊政策和监管整合来促进遵守是必要的.
- 量化合规跟踪可以弥合人工智能性能和临床信任之间的差距.
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