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用人工智能驱动的临床决策支持系统用于口腔癌的早期检测和精确治疗:一篇小小的回顾

Manoj Kumar Karuppan Perumal¹, Remya Rajan Renuka¹, Suresh Kumar Subbiah¹

¹Centre for Stem Cell Mediated Advanced Research Therapeutics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.

Frontiers in oral health

|May 13, 2025

概括

基于人工智能的临床决策支持系统 (AI-CDSS) 提高了早期口腔癌 (OC) 检测和治疗规划. 这些AI-CDSS分析复杂的患者数据,以改善诊断和个性化治疗,提高生存率.

科学领域:

在瘤学瘤学.
医疗信息学医疗信息学
人工智能的人工智能

背景情况:

口腔癌 (OC) 是一个重大的全球健康挑战,需要早期诊断和精确的治疗,以改善患者的治疗结果.
目前的诊断和治疗规划依赖于从临床评估,成像,组织病理学和患者病史中合成复杂的数据.
诊断的延迟和不理想的治疗计划有助于减少口腔癌患者的生存率.

研究的目的:

审查基于人工智能的临床决策支持系统 (AI-CDSS),作为改善口腔癌诊断和治疗规划的解决方案.
检查AI-CDSS的实施,以促进口腔癌的早期检测,精确的分期和个性化治疗.
突出AI-CDSS在分析多式联络患者数据中的作用,以进行全面的诊断和预后评估.

主要方法:

关于AI-CDSS在口腔癌中的应用现有文献的综述.
分析人工智能方法,包括机器学习,计算机视觉和用于数据合成的自然语言处理.
检查AI-CDSS如何处理临床结果,成像,组织病理学和患者病史.

主要成果:

AI-CDSS有效地分析多式联络患者信息,用于早期口腔癌检测和精确的分期.
这些系统识别了关键疾病模式,包括临床阶段,瘤特征和分子概况,以建立全面的患者概况.
AI-CDSS通过考虑独特的患者参数,瘤阶段和风险因素来优化治疗计划,从而实现个性化治疗.

结论:

AI-CDSS提供了一种有希望的方法来克服诊断延迟,并改善口腔癌的干预结果.
整合AI-CDSS有助于个性化治疗策略,从而改善患者管理和生存.
人工智能CDSS代表了利用复杂数据实现更有效的口腔癌护理的重大进展.

关键词:

这就是AI-CDSS.准确的治疗计划,准确的治疗计划.早期检测早期检测口腔癌是指口腔癌的发生.患者数据患者数据

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