目前的AI应用和口腔病理学中的挑战
Zaizhen Xu1, Alice Lin1, Xiaoyuan Han1
1Department of Biomedical Sciences, Arthur A. Dugoni School of Dentistry, University of the Pacific, 155 5th St., San Francisco, CA 94103, USA.
概括
人工智能 (AI) 在口腔病理学中显示出有前途的疾病检测和诊断. 克服数据质量和道德问题等挑战是成功整合和改善患者护理的关键.
科学领域:
- 口腔病理学 口腔病理学
- 医疗人工智能的人工智能
- 数字健康数字健康
背景情况:
- 人工智能 (AI),包括机器学习 (ML) 和深度学习 (DL),在口腔病理学中提供了巨大的潜力.
- 像卷积神经网络 (CNN) 和自然语言处理 (NLP) 这样的技术正在推进图像分析和临床文档.
研究的目的:
- 审查人工智能在口腔病理学中的变革潜力.
- 突出展示AI在疾病检测和诊断简化方面的当前改进的研究.
- 批判性地检查阻碍人工智能在现场采用的局限性.
主要方法:
- 对口腔病理学AI应用的关键研究的文献综述.
- 分析AI在图像分析和临床文档中的作用.
- 检查挑战,包括数据质量,概括性,法律/道德问题和财务限制.
主要成果:
- 人工智能在检测口腔疾病方面表现出更高的准确性.
- 人工智能技术简化了口腔病理学的诊断过程.
- 存在重大限制,包括数据质量,概括性,道德考虑和财务障碍.
结论:
- 通过合作,验证和战略整合来应对挑战至关重要.
- 人工智能有可能彻底改变口腔病理学实践.
- 成功实施人工智能可以带来改善患者的治疗结果和现场进步.
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