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在结直肠癌的诊断中使用人工智能

Basil N Nduma¹, Stephen Nkeonye², Tesingin D Uwawah³

¹Internal Medicine, Medical City, Denton, USA.

|February 27, 2024

概括

人工智能 (AI) 在改善结肠直肠癌 (CRC) 诊断准确性方面显示出很大的前景. 人工智能与人类专业知识的无整合是有效的临床决策和更好的患者结果的关键.

科学领域:

医疗成像医学成像
在瘤学瘤学.
人工智能的人工智能

背景情况:

大肠直肠癌 (CRC) 是一种普遍存在的恶性瘤,需要准确和早期诊断以改善患者的治疗结果.
人工智能 (AI) 算法,包括支持向量机 (SVM) 和卷积神经网络 (CNN),在医学图像分析中显示出疾病检测的潜力.

研究的目的:

系统地审查人工智能在诊断结直肠癌 (CRC) 中的有效性,重点关注准确性,敏感性和特异性.
通过医学图像分析评估AI在提高CRC诊断能力方面的作用.

主要方法:

一个系统的审查研究发表在过去十年,用英语记录.
在Embase,PubMed和Google Scholar上进行的搜索,使用关键词如AI,CRC,准确性,灵敏性,特异性,机器学习和深度学习.

主要成果:

人工智能在医学图像分析,识别微妙模式和为CRC诊断提供决策支持方面表现出优越性.
研究表明,人工智能有可能显著提高诊断准确性,敏感性和CRC检测的特异性.

结论:

医疗专家和人工智能系统之间的无协作对于在临床环境中有效部署至关重要.
人工智能算法的持续改进和严格验证是必要的,以优化它们在CRC诊断中的作用并改善患者的治疗结果.

关键词:

准确度准确度准确度准确度准确度人工智能 (ai) 是一种人工智能.大肠直肠癌 (crc) 是一种癌症.疾病诊断疾病诊断有效性有效性.有效性有效性有效性.机器学习是机器学习.查检查查检查查检查查检查灵敏度灵敏度灵敏度灵敏度灵敏度特殊性的特异性

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