通过实用证据搜索和人工智能对治疗建议的准确性:一项探索性研究
Zunaira Baig1, Daniel Lawrence2, Mahen Ganhewa2
1Melbourne Dental School, The University of Melbourne, 720 Swanston Street, Carlton, VIC 3053, Australia.
Diagnostics (Basel, Switzerland)
|March 13, 2024
概括
人工智能 (AI) 工具在产生牙科治疗建议方面表现有前途,与当前文献保持一致. 然而,临床医生们
科学领域:
- 牙科 牙科是指牙科的专业.
- 人工智能的人工智能
- 基于证据的实践.
背景情况:
- 优化临床牙科实践依赖于基于证据的指导方针 (EBGs).
- 人工智能 (AI) 在牙科的整合是一个不断增长的研究领域.
- 评估人工智能产生的治疗建议的准确性对于临床采用至关重要.
研究的目的:
- 开发一个模型来评估人工智能产生的牙科治疗建议的准确性.
- 将AI输出与临床医生生成的建议和基于证据的指导方针进行比较.
- 评估不同证据生成方法的适用性,以告知牙科实践.
主要方法:
- 德尔菲的专家小组制定了基于证据的推,以消除结石.
- 对相关研究进行了对Ovid Medline数据库的快速审查.
- 分析了来自ChatGPT (3.5和4) 和Bard (Gemini) 的治疗建议.
- 定性内容分析和评价者之间的可靠性评估了对标准的遵守.
主要成果:
- 人工智能治疗建议通常与当前文献一致 (达75%的同意).
- 巴德提供了数据源,与其他人工智能工具不同.
- 临床医生快速审查和GPT4建议潜在的过度治疗程序.
- 与快速审查 (0.28) 相比,GPT4的整体准确性更高 (科恩的卡帕为0.42).
结论:
- 人工智能工具显示出支持基于证据的牙科的潜力.
- 需要进一步的研究来验证AI的准确性,并解决诸如过度处理建议等局限性问题.
- 这项研究提供了对AI在临床牙科决策中的作用的初步见解.
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