论文标题
大肠癌筛查的人工智能前景
An Artificial Intelligence Outlook for Colorectal Cancer Screening
论文作者
论文摘要
结直肠癌是男性中第三大常见的肿瘤，是女性的第二个肿瘤，占全球所有肿瘤的10％。在肺癌之后，它在癌症相关的死亡中排名第二，为9.4％。过去20年中记录的死亡率下降显示出自2017年以来放慢速度的迹象，需要对具有巨大潜力的特定措施采取集中行动。因此，已经为血液来源的蛋白质标记物设定了技术基础和研究证据，等待比较验证，临床实施并将整合到人工智能中，使决策支持框架也考虑了有关风险因素的知识。当前的论文渴望通过采用直接的人工智能前景来通过可访问和非侵入性风险估计来审查现有的医疗实践来构成改变结直肠癌筛查的动力。
Colorectal cancer is the third most common tumor in men and the second in women, accounting for 10% of all tumors worldwide. It ranks second in cancer-related deaths with 9.4%, following lung cancer. The decrease in mortality rate documented over the last 20 years has shown signs of slowing down since 2017, necessitating concentrated actions on specific measures that have exhibited considerable potential. As such, the technical foundation and research evidence for blood-derived protein markers have been set, pending comparative validation, clinical implementation and integration into an artificial intelligence enabled decision support framework that also considers knowledge on risk factors. The current paper aspires to constitute the driving force for creating change in colorectal cancer screening by reviewing existing medical practices through accessible and non-invasive risk estimation, employing a straightforward artificial intelligence outlook.
