结肠癌的AI:专注于分类,检测和预测建模
Asma Merabet1, Asma Saighi1, Harous Saad2
1Laboratory of Artificial Intelligence and Autonomous Things (LIAOA), Department of Computer Science, Larbi Ben M'hidi University, Oum El Bouaghi, Algeria.
International journal of medical informatics
|October 11, 2025
概括
人工智能 (AI) 显著提高了结肠癌检测和分类准确度. 需要进一步研究人工智能工具的临床整合,重点是可解释的模型和验证.
科学领域:
- 在瘤学瘤学.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 在提高结肠癌检测,分类,预测和细分方面表现有前途.
- 研究可靠性取决于研究数据的质量和完整性.
研究的目的:
- 在结肠癌研究中系统审查人工智能应用.
- 评估AI对诊断准确度,治疗计划和患者结果的影响.
主要方法:
- 从2020年到2024年进行全面的文献搜索 (PubMed,Scopus,科学网).
- 研究的质量评估和可能的元分析.
- 根据AI类型 (深度学习,机器学习) 和应用程序进行子组分析;记录可解释AI (XAI) 和生成AI的使用情况.
主要成果:
- 审查了80篇文章,证明了AI在诊断准确性方面的显著改进,用于多检测和组织病理学.
- 深度学习模型通常优于传统方法.
- 由于数据和验证差距,临床整合面临挑战.
结论:
- 人工智能为推进结肠癌诊断和治疗提供了巨大的潜力.
- 未来的努力应该优先考虑通过可解释模型和标准化验证将AI集成到临床工作流程中.
关键词:
人工智能 (AI) 是一种人工智能.癌症的分类 癌症的分类癌症检测 癌症检测癌症预测 癌症预测癌症细分 癌症细分大肠癌是什么意思 大肠癌是什么意思深度学习是一种深度学习.可解释的人工智能 (XAI)更多相关视频
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