人工智能用于结肠直肠癌的诊断:一篇文学评论
Petar Uchikov1, Usman Khalid2, Krasimir Kraev3
1Department of Special Surgery, Faculty of Medicine, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.
Diagnostics (Basel, Switzerland)
|March 13, 2024
概括
人工智能 (AI) 在通过先进的成像和基因组分析来改善早期结直肠癌 (CRC) 诊断方面表现有前途. 需要进一步的研究来克服数据多样性的局限性,以便广泛的临床应用.
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) 正在成为结直肠癌 (CRC) 诊断的工具.
- 了解AI对CRC发病率和死亡率的影响至关重要.
- 目前临床应用的局限性要求进行探索.
研究的目的:
- 审查人工智能在结直肠癌诊断中的作用.
- 评估AI对CRC发病率和死亡率的影响.
- 确定AI在CRC中的临床实施障碍.
主要方法:
- 进行了有针对性的,非系统的文献综述.
- 在PubMed数据库中搜索相关文章.
- 包括专注于AI在CRC诊断中的文章及其影响.
主要成果:
- 人工智能的进步显著帮助早期诊断CRC.
- 人工智能在分析基因组生物标志物,成像 (MR,超光谱) 和神经网络架构方面表现有前途.
- 深度学习方法可以提高诊断的准确性,但强大的模型需要数据多样化.
结论:
- 人工智能为CRC提供了许多诊断功能.
- 人工智能在CRC中的临床应用仍在发展.
- 持续的研究可能会导致AI显著影响CRC诊断,发病率和死亡率.
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