AI提升癌症诊断精度，助力早期发现与个性化治疗。
AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications
- 融合医学影像、基因分析与病理数据，实现多模态癌症识别
- 支持肺癌、乳腺癌等10类癌症的早期筛查与精准分型
- 适合临床医生、科研人员及医疗AI开发者参考
人工智能在肿瘤学中具有变革潜力，可提升癌症诊断精度、优化治疗策略并实现个性化疗法。本文综述传统诊断技术的局限性，探讨AI在肺癌、乳腺癌、结直肠癌、肝癌、胃癌、食管癌、宫颈癌、甲状腺癌、前列腺癌和皮肤癌等多种癌症中的应用。通过早期检测、提高诊断准确率和靶向治疗支持，AI显著改善患者预后。其在医学影像、基因组分析和病理学中的集成提升了诊断精度，并提供更少侵入性的筛查方式，增强医疗机构效率并降低运营成本。研究还涉及放射组学用于癌症特征刻画、预测分析评估风险，以及算法驱动机器人实现即时诊断。同时关注AI在资源匮乏地区缓解医疗挑战的作用。本文总结现有研究与临床试验，强调AI在推动精准肿瘤学中的关键作用，认为其能强化临床决策并拓展治疗选择，为制定专家建议与建立高效普适的诊断流程提供支持。
原文摘要 · Abstract (English)
Artificial intelligence (AI) has potential to revolutionize the field of oncology by enhancing the precision of cancer diagnosis, optimizing treatment strategies, and personalizing therapies for a variety of cancers. This review examines the limitations of conventional diagnostic techniques and explores the transformative role of AI in diagnosing and treating cancers such as lung, breast, colorectal, liver, stomach, esophageal, cervical, thyroid, prostate, and skin cancers. The primary objective of this paper is to highlight the significant advancements that AI algorithms have brought to oncology within the medical industry. By enabling early cancer detection, improving diagnostic accuracy, and facilitating targeted treatment delivery, AI contributes to substantial improvements in patient outcomes. The integration of AI in medical imaging, genomic analysis, and pathology enhances diagnostic precision and introduces a novel, less invasive approach to cancer screening. This not only boosts the effectiveness of medical facilities but also reduces operational costs. The study delves into the application of AI in radiomics for detailed cancer characterization, predictive analytics for identifying associated risks, and the development of algorithm-driven robots for immediate diagnosis. Furthermore, it investigates the impact of AI on addressing healthcare challenges, particularly in underserved and remote regions. The overarching goal of this platform is to support the development of expert recommendations and to provide universal, efficient diagnostic procedures. By reviewing existing research and clinical studies, this paper underscores the pivotal role of AI in improving the overall cancer care system. It emphasizes how AI-enabled systems can enhance clinical decision-making and expand treatment options, thereby underscoring the importance of AI in advancing precision oncology
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